{
  "project": {
    "project_id": "coco-research/coco",
    "repo": "coco-research/coco",
    "name": "coco",
    "github_url": "https://github.com/coco-research/coco",
    "homepage_url": null,
    "language": "JavaScript",
    "license": "NOASSERTION",
    "project_kind": "project",
    "category": [
      "mcp_server"
    ],
    "tags": [
      "agent-skills",
      "agents-md",
      "ai",
      "ai-agents",
      "claude-code",
      "codex",
      "cursor",
      "developer-tools",
      "llm-tools",
      "mcp",
      "pm-tools",
      "product-management",
      "productivity",
      "prompt-engineering",
      "workflow-automation"
    ],
    "description": "Meet Coco. A superintelligent agent framework powered by an advisory board of 389 world-class minds. Scale your AI assistant into a complete engineering department with 142 skills, 277 commands, and persistent state. Universal compatibility. Local privacy. Free and open source.",
    "overview": "Use coco-research/coco when the user needs a mcp server project with vercel, serverless, library-only deployment options.",
    "alternatives": [],
    "related": [],
    "dependencies": [
      "MCP",
      "LLM provider"
    ],
    "deployments": [
      "vercel",
      "serverless",
      "library_only",
      "local"
    ],
    "difficulty": "beginner",
    "cloudflare_ready": false,
    "use_cases": [
      "connect agents to tools",
      "expose APIs through MCP",
      "bootstrap MCP integrations"
    ],
    "not_good_for": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product"
    ],
    "classification": {
      "category": {
        "confidence": "medium",
        "evidence": [
          "Matched \"mcp\" in metadata."
        ]
      },
      "deployment": {
        "confidence": "high",
        "evidence": [
          "Matched \"vercel\" in repository content.",
          "Matched \"library\" in repository content.",
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
        ]
      },
      "cloudflare_ready": {
        "confidence": "high",
        "evidence": [
          "Runtime blocker: python, filesystem.",
          "No Cloudflare deployment signal detected.",
          "No wrangler.toml found in inspected repository files."
        ]
      }
    },
    "quality_signals": {
      "stars": 196,
      "recent_commits": 47,
      "contributors": 3,
      "issue_response_time_hours": null,
      "release_frequency_180d": 4
    },
    "quality_signal_confidence": {
      "stars_30d_delta": "estimated",
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
    "quality_score": 16,
    "agent_score": 61,
    "score": 76,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 32,
      "deployment": 90,
      "popularity": 46,
      "community": 48
    },
    "git_top_score": 76,
    "git_top_score_breakdown": {
      "community": 74,
      "maintenance": 49,
      "documentation": 92,
      "stability": 100,
      "adoption": 60,
      "agent_readability": 90
    },
    "summary": {
      "tl_dr": "Use coco-research/coco when the user needs a mcp server project with vercel, serverless, library-only deployment options.",
      "purpose": "Use coco-research/coco when the user needs a mcp server project with vercel, serverless, library-only deployment options.",
      "install": "Install as a library or package using the repository instructions.",
      "inputs": [
        "tool definitions",
        "resource config",
        "transport settings"
      ],
      "outputs": [
        "MCP tools",
        "JSON-RPC responses",
        "server capabilities"
      ],
      "good_for": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations",
        "agent tool exposure",
        "MCP integrations",
        "tool servers"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "front-end apps",
        "non-tooling backends"
      ],
      "deployment": [
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "alternatives": []
    },
    "evidence": {
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, filesystem.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "last_verified_at": "2026-08-02T20:00:11.461Z"
    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "Partial or estimated quality signals: stars30dDelta."
    ],
    "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
    "source_fields": [
      "project.description",
      "project.topics",
      "project.language",
      "project.license",
      "agent_card.summary_for_agent",
      "agent_card.use_cases",
      "agent_card.deployment",
      "agent_card.classification",
      "metrics"
    ],
    "last_verified_at": "2026-08-02T20:00:11.461Z"
  },
  "related": [
    {
      "project_id": "ohad6k/emulo",
      "repo": "ohad6k/emulo",
      "name": "emulo",
      "github_url": "https://github.com/ohad6k/emulo",
      "homepage_url": "https://emulo.vercel.app",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agent-memory",
        "agent-skills",
        "ai",
        "ai-agents",
        "ai-coding",
        "ai-memory",
        "claude",
        "claude-code",
        "codex",
        "context-engineering",
        "cursor",
        "developer-tools",
        "llm",
        "local-first",
        "mcp",
        "mcp-server",
        "memory",
        "model-context-protocol",
        "opencode",
        "personalization"
      ],
      "description": "Mine your Claude Code and Codex logs into a local you.md agent profile.",
      "overview": "Use ohad6k/emulo when the user needs a mcp server project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "affaan-m/ECC",
          "reason": "Same mcp server intent with agent_memory, mcp overlap."
        },
        {
          "repo": "headroomlabs-ai/headroom",
          "reason": "Same mcp server intent with coding_agent, mcp overlap."
        },
        {
          "repo": "BerriAI/litellm",
          "reason": "Same mcp server intent with mcp overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 211,
        "recent_commits": 100,
        "contributors": 2,
        "issue_response_time_hours": null,
        "release_frequency_180d": 8
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 14,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 25,
      "agent_score": 67,
      "score": 80,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 48,
        "deployment": 100,
        "popularity": 46,
        "community": 47
      },
      "git_top_score": 80,
      "git_top_score_breakdown": {
        "community": 71,
        "maintenance": 65,
        "documentation": 84,
        "stability": 100,
        "adoption": 64,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use ohad6k/emulo when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "purpose": "Use ohad6k/emulo when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "affaan-m/ECC",
            "reason": "Same mcp server intent with agent_memory, mcp overlap."
          },
          {
            "repo": "headroomlabs-ai/headroom",
            "reason": "Same mcp server intent with coding_agent, mcp overlap."
          },
          {
            "repo": "BerriAI/litellm",
            "reason": "Same mcp server intent with mcp overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 14,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-30T21:00:31.197Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-30T21:00:31.197Z"
    },
    {
      "project_id": "headroomlabs-ai/headroom",
      "repo": "headroomlabs-ai/headroom",
      "name": "headroom",
      "github_url": "https://github.com/headroomlabs-ai/headroom",
      "homepage_url": "https://docs.headroomlabs.ai/docs",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agent",
        "ai",
        "anthropic",
        "claude-code",
        "compression",
        "context-engineering",
        "context-window",
        "cursor",
        "fastapi",
        "langchain",
        "llm",
        "mcp",
        "openai",
        "prompt-engineering",
        "proxy",
        "python",
        "rag",
        "token-optimization",
        "tokens",
        "typescript"
      ],
      "description": "Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.",
      "overview": "Use headroomlabs-ai/headroom when the user needs a mcp server project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "BerriAI/litellm",
          "reason": "Same mcp server intent with mcp, llm_gateway overlap."
        },
        {
          "repo": "AstrBotDevs/AstrBot",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "can1357/oh-my-pi",
          "reason": "Same mcp server intent with coding_agent, mcp overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "advanced",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"mcp server\" in metadata.",
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Found multi-service or orchestration configuration files."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 63445,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "partial"
      },
      "quality_score": 84,
      "agent_score": 91,
      "score": 94,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 100,
        "popularity": 96,
        "community": 100
      },
      "git_top_score": 94,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 92,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use headroomlabs-ai/headroom when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "purpose": "Use headroomlabs-ai/headroom when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "BerriAI/litellm",
            "reason": "Same mcp server intent with mcp, llm_gateway overlap."
          },
          {
            "repo": "AstrBotDevs/AstrBot",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "can1357/oh-my-pi",
            "reason": "Same mcp server intent with coding_agent, mcp overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"mcp server\" in metadata.",
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Found multi-service or orchestration configuration files."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta, commits30d, releases180d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-31T04:00:12.280Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta, commits30d, releases180d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-31T04:00:12.280Z"
    },
    {
      "project_id": "seaworld008/Commonly-used-high-value-skills",
      "repo": "seaworld008/Commonly-used-high-value-skills",
      "name": "Commonly-used-high-value-skills",
      "github_url": "https://github.com/seaworld008/Commonly-used-high-value-skills",
      "homepage_url": null,
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agent",
        "agentic-workflows",
        "ai",
        "ai-tools",
        "automation",
        "claude-code",
        "codex",
        "hermes",
        "llm",
        "mcp",
        "model-context-protocol",
        "multi-agent",
        "openclaw",
        "prompt-engineering",
        "skills",
        "tool-calling"
      ],
      "description": "High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows.  高价值的 AI 技能库，涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。",
      "overview": "Use seaworld008/Commonly-used-high-value-skills when the user needs a mcp server project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "headroomlabs-ai/headroom",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "BerriAI/litellm",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "HKUDS/nanobot",
          "reason": "Same mcp server intent with mcp, workflow overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "kubernetes",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"helm chart\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 62,
        "recent_commits": 20,
        "contributors": 4,
        "issue_response_time_hours": null,
        "release_frequency_180d": 3
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 29,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 11,
      "agent_score": 60,
      "score": 73,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 24,
        "deployment": 100,
        "popularity": 36,
        "community": 49
      },
      "git_top_score": 73,
      "git_top_score_breakdown": {
        "community": 72,
        "maintenance": 38,
        "documentation": 92,
        "stability": 94,
        "adoption": 49,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use seaworld008/Commonly-used-high-value-skills when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "purpose": "Use seaworld008/Commonly-used-high-value-skills when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "kubernetes",
          "local"
        ],
        "alternatives": [
          {
            "repo": "headroomlabs-ai/headroom",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "BerriAI/litellm",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "HKUDS/nanobot",
            "reason": "Same mcp server intent with mcp, workflow overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"vercel\" in repository content.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"helm chart\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 29,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation"
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-01T09:30:16.553Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-01T09:30:16.553Z"
    },
    {
      "project_id": "avivsinai/langfuse-mcp",
      "repo": "avivsinai/langfuse-mcp",
      "name": "langfuse-mcp",
      "github_url": "https://github.com/avivsinai/langfuse-mcp",
      "homepage_url": "https://github.com/avivsinai/langfuse-mcp",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agent-skills",
        "ai-agents",
        "claude-code",
        "codex",
        "developer-tools",
        "genai",
        "langfuse",
        "llm",
        "mcp",
        "mcp-server",
        "observability",
        "tracing"
      ],
      "description": "A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability",
      "overview": "Use avivsinai/langfuse-mcp when the user needs a mcp server project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "affaan-m/ECC",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "headroomlabs-ai/headroom",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "BerriAI/litellm",
          "reason": "Same mcp server intent with mcp overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"model context protocol\" in metadata.",
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 102,
        "recent_commits": 0,
        "contributors": 6,
        "issue_response_time_hours": null,
        "release_frequency_180d": 11
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 19,
      "agent_score": 63,
      "score": 72,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 31,
        "deployment": 100,
        "popularity": 40,
        "community": 51
      },
      "git_top_score": 72,
      "git_top_score_breakdown": {
        "community": 80,
        "maintenance": 33,
        "documentation": 84,
        "stability": 85,
        "adoption": 58,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use avivsinai/langfuse-mcp when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "purpose": "Use avivsinai/langfuse-mcp when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "affaan-m/ECC",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "headroomlabs-ai/headroom",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "BerriAI/litellm",
            "reason": "Same mcp server intent with mcp overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"model context protocol\" in metadata.",
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 31,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-08-01T07:30:14.372Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-01T07:30:14.372Z"
    },
    {
      "project_id": "ComposioHQ/composio",
      "repo": "ComposioHQ/composio",
      "name": "composio",
      "github_url": "https://github.com/ComposioHQ/composio",
      "homepage_url": "https://docs.composio.dev",
      "language": "TypeScript",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agentic-ai",
        "agents",
        "ai",
        "ai-agents",
        "aiagents",
        "developer-tools",
        "function-calling",
        "gpt-4",
        "javascript",
        "js",
        "llm",
        "llmops",
        "mcp",
        "python",
        "remote-mcp-server",
        "sse",
        "typescript"
      ],
      "description": "Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.",
      "overview": "Use ComposioHQ/composio when the user needs a mcp server project with cloudflare, serverless, vercel deployment options.",
      "alternatives": [
        {
          "repo": "can1357/oh-my-pi",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "mastra-ai/mastra",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "open-multi-agent/open-multi-agent",
          "reason": "Same mcp server intent with mcp overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "Cloudflare Workers",
        "LLM provider"
      ],
      "deployments": [
        "cloudflare",
        "serverless",
        "vercel",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"cloudflare workers\" in repository content.",
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Cloudflare deployment path suggests a guided serverless setup."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Cloudflare signal: cloudflare workers.",
            "Runtime blocker: python."
          ]
        }
      },
      "quality_signals": {
        "stars": 29490,
        "recent_commits": 100,
        "contributors": 82,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 36,
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "complete"
      },
      "quality_score": 58,
      "agent_score": 90,
      "score": 94,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 100,
        "popularity": 89,
        "community": 100
      },
      "git_top_score": 94,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use ComposioHQ/composio when the user needs a mcp server project with cloudflare, serverless, vercel deployment options.",
        "purpose": "Use ComposioHQ/composio when the user needs a mcp server project with cloudflare, serverless, vercel deployment options.",
        "install": "Deploy on Cloudflare Workers using the repository's deployment instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "cloudflare",
          "serverless",
          "vercel",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "can1357/oh-my-pi",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "mastra-ai/mastra",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "open-multi-agent/open-multi-agent",
            "reason": "Same mcp server intent with mcp overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"cloudflare workers\" in repository content.",
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Cloudflare deployment path suggests a guided serverless setup."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Cloudflare signal: cloudflare workers.",
              "Runtime blocker: python."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 36,
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, releases180d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-01T23:00:15.866Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, releases180d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-01T23:00:15.866Z"
    },
    {
      "project_id": "yonatangross/orchestkit",
      "repo": "yonatangross/orchestkit",
      "name": "orchestkit",
      "github_url": "https://github.com/yonatangross/orchestkit",
      "homepage_url": "https://orchestkit.yonyon.ai",
      "language": "TypeScript",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agent-orchestration",
        "agents",
        "ai-agents",
        "ai-development",
        "anthropic",
        "claude-code",
        "claude-code-plugin",
        "claude-plugin",
        "developer-tools",
        "fastapi",
        "langgraph",
        "llm",
        "mcp",
        "rag",
        "react",
        "security",
        "testing",
        "typescript"
      ],
      "description": "The Complete AI Development Toolkit for Claude Code — 114 skills, 37 agents, 212 hooks. Production-ready patterns for full-stack development.",
      "overview": "Use yonatangross/orchestkit when the user needs a mcp server project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "affaan-m/ECC",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "headroomlabs-ai/headroom",
          "reason": "Same mcp server intent with rag, mcp overlap."
        },
        {
          "repo": "HKUDS/nanobot",
          "reason": "Same mcp server intent with mcp, workflow overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 210,
        "recent_commits": 100,
        "contributors": 6,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 16,
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "complete"
      },
      "quality_score": 30,
      "agent_score": 70,
      "score": 83,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 58,
        "deployment": 100,
        "popularity": 46,
        "community": 51
      },
      "git_top_score": 83,
      "git_top_score_breakdown": {
        "community": 83,
        "maintenance": 71,
        "documentation": 84,
        "stability": 100,
        "adoption": 64,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use yonatangross/orchestkit when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "purpose": "Use yonatangross/orchestkit when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "affaan-m/ECC",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "headroomlabs-ai/headroom",
            "reason": "Same mcp server intent with rag, mcp overlap."
          },
          {
            "repo": "HKUDS/nanobot",
            "reason": "Same mcp server intent with mcp, workflow overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 16,
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, releases180d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-31T15:30:28.200Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, releases180d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-31T15:30:28.200Z"
    },
    {
      "project_id": "Rheosoph/flow-like",
      "repo": "Rheosoph/flow-like",
      "name": "flow-like",
      "github_url": "https://github.com/Rheosoph/flow-like",
      "homepage_url": "https://flow-like.com",
      "language": "Rust",
      "license": "NOASSERTION",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agents",
        "ai",
        "apis",
        "automation",
        "data-flow",
        "development",
        "llm",
        "low-code",
        "mcp",
        "mcp-client",
        "mcp-server",
        "no-code",
        "rust",
        "self-hosted",
        "typed",
        "typescript",
        "visual-scripting",
        "workflow",
        "workflow-automation"
      ],
      "description": "Flow-Like: Strongly Typed Enterprise Scale Workflows. Built for scalability, speed, seamless AI integration and rich customization.",
      "overview": "Use Rheosoph/flow-like when the user needs a mcp server project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "headroomlabs-ai/headroom",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "aaif-goose/goose",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "HKUDS/nanobot",
          "reason": "Same mcp server intent with mcp, workflow overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 927,
        "recent_commits": 100,
        "contributors": 6,
        "issue_response_time_hours": null,
        "release_frequency_180d": 8
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 28,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 26,
      "agent_score": 68,
      "score": 85,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 49,
        "deployment": 90,
        "popularity": 59,
        "community": 51
      },
      "git_top_score": 85,
      "git_top_score_breakdown": {
        "community": 90,
        "maintenance": 65,
        "documentation": 84,
        "stability": 90,
        "adoption": 84,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use Rheosoph/flow-like when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "purpose": "Use Rheosoph/flow-like when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "local"
        ],
        "alternatives": [
          {
            "repo": "headroomlabs-ai/headroom",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "aaif-goose/goose",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "HKUDS/nanobot",
            "reason": "Same mcp server intent with mcp, workflow overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"vercel\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 28,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "Partial or estimated quality signals: commits30d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-01T03:30:22.889Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "Partial or estimated quality signals: commits30d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-01T03:30:22.889Z"
    },
    {
      "project_id": "open-multi-agent/open-multi-agent",
      "repo": "open-multi-agent/open-multi-agent",
      "name": "open-multi-agent",
      "github_url": "https://github.com/open-multi-agent/open-multi-agent",
      "homepage_url": "https://open-multi-agent.com",
      "language": "TypeScript",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "mcp_server"
      ],
      "tags": [
        "agent-framework",
        "agent-orchestration",
        "agentic-ai",
        "ai-agents",
        "anthropic",
        "claude",
        "claude-code",
        "crewai-alternative",
        "deepseek",
        "dynamic-workflows",
        "gemini",
        "langgraph-alternative",
        "llm",
        "local-llm",
        "mcp",
        "multi-agent",
        "nodejs",
        "ollama",
        "openai",
        "typescript"
      ],
      "description": "TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepSeek, or local models).",
      "overview": "Use open-multi-agent/open-multi-agent when the user needs a mcp server project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "affaan-m/ECC",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "headroomlabs-ai/headroom",
          "reason": "Same mcp server intent with mcp overlap."
        },
        {
          "repo": "BerriAI/litellm",
          "reason": "Same mcp server intent with mcp overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "MCP",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "connect agents to tools",
        "expose APIs through MCP",
        "bootstrap MCP integrations"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 6684,
        "recent_commits": 100,
        "contributors": 50,
        "issue_response_time_hours": null,
        "release_frequency_180d": 18
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 7,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 40,
      "agent_score": 85,
      "score": 94,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 68,
        "deployment": 100,
        "popularity": 77,
        "community": 95
      },
      "git_top_score": 94,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 78,
        "documentation": 92,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use open-multi-agent/open-multi-agent when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "purpose": "Use open-multi-agent/open-multi-agent when the user needs a mcp server project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "tool definitions",
          "resource config",
          "transport settings"
        ],
        "outputs": [
          "MCP tools",
          "JSON-RPC responses",
          "server capabilities"
        ],
        "good_for": [
          "connect agents to tools",
          "expose APIs through MCP",
          "bootstrap MCP integrations",
          "agent tool exposure",
          "MCP integrations",
          "tool servers"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "front-end apps",
          "non-tooling backends"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "affaan-m/ECC",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "headroomlabs-ai/headroom",
            "reason": "Same mcp server intent with mcp overlap."
          },
          {
            "repo": "BerriAI/litellm",
            "reason": "Same mcp server intent with mcp overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"mcp\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"vercel\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 7,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-30T16:30:39.554Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-30T16:30:39.554Z"
    }
  ],
  "resolved_from": {
    "requested_id": "coco-research/coco",
    "resolved_id": "coco-research/coco",
    "resolution": "direct"
  },
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 1028,
    "generated_at": "2026-08-02T23:23:19.706Z",
    "snapshot_id": "d1:1028:2026-08-02T23:00:27.780Z",
    "latest_synced_at": "2026-08-02T23:00:27.780Z",
    "schema_version": "git-top.knowledge.v1",
    "loaded_project_limit": 2000,
    "truncated": false
  }
}