{
  "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": [
    {
      "repo": "ohad6k/emulo",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    },
    {
      "repo": "headroomlabs-ai/headroom",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    },
    {
      "repo": "seaworld008/Commonly-used-high-value-skills",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    },
    {
      "repo": "avivsinai/langfuse-mcp",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    },
    {
      "repo": "ComposioHQ/composio",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    },
    {
      "repo": "yonatangross/orchestkit",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    },
    {
      "repo": "Rheosoph/flow-like",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    },
    {
      "repo": "open-multi-agent/open-multi-agent",
      "reason": "Related to coco-research/coco through mcp server category and vercel deployment."
    }
  ],
  "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",
  "knowledge": {
    "project": {
      "id": "coco-research/coco",
      "owner": "coco-research",
      "name": "coco",
      "full_name": "coco-research/coco",
      "github_url": "https://github.com/coco-research/coco",
      "homepage_url": null,
      "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.",
      "language": "JavaScript",
      "topics": [
        "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"
      ],
      "license": "NOASSERTION",
      "stars": 196,
      "forks": 10,
      "open_issues": 7,
      "default_branch": "main",
      "created_at": "2026-04-25T21:22:40Z",
      "updated_at": "2026-08-02T19:41:48Z",
      "pushed_at": "2026-08-02T19:41:30Z",
      "synced_at": "2026-08-02T20:00:11.461Z"
    },
    "agent_card": {
      "project_id": "coco-research/coco",
      "project_kind": "project",
      "category": "mcp_server",
      "difficulty": "beginner",
      "deployment": [
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "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"
      ],
      "alternatives": [],
      "summary_for_agent": "Use coco-research/coco when the user needs a mcp server project with vercel, serverless, library-only deployment options.",
      "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."
          ]
        }
      },
      "schema_version": "v1",
      "generated_at": "2026-08-02T20:00:11.461Z"
    },
    "metrics": {
      "project_id": "coco-research/coco",
      "stars_30d_delta": 60,
      "commits_30d": 47,
      "releases_180d": 4,
      "contributors_90d": 3,
      "issue_first_response_median_hours": null,
      "recent_push_days": 0,
      "git_score": 16,
      "maintenance_score": 32,
      "signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "calculated_at": "2026-08-02T20:00:11.461Z"
    }
  },
  "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": "2026-08-02T23:24:44.919Z",
    "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
  }
}