{
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  "repo": "labring/FastGPT",
  "name": "FastGPT",
  "github_url": "https://github.com/labring/FastGPT",
  "homepage_url": "https://fastgpt.io",
  "language": "TypeScript",
  "license": "NOASSERTION",
  "project_kind": "project",
  "category": [
    "mcp_server"
  ],
  "tags": [
    "agent",
    "claude",
    "deepseek",
    "llm",
    "mcp",
    "nextjs",
    "openai",
    "qwen",
    "rag",
    "workflow"
  ],
  "description": "FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.",
  "overview": "Use labring/FastGPT when the user needs a mcp server project with docker, local, cloud deployment options.",
  "alternatives": [],
  "related": [
    {
      "repo": "ModelEngine-Group/nexent",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    },
    {
      "repo": "OpenBMB/UltraRAG",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    },
    {
      "repo": "datawhalechina/easy-vibe",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    },
    {
      "repo": "headroomlabs-ai/headroom",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    },
    {
      "repo": "trpc-group/trpc-agent-go",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    },
    {
      "repo": "the-open-agent/openagent",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    },
    {
      "repo": "AstrBotDevs/AstrBot",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    },
    {
      "repo": "deepset-ai/haystack",
      "reason": "Related to labring/FastGPT through mcp server category and docker deployment."
    }
  ],
  "dependencies": [
    "MCP",
    "Vector database",
    "LLM provider"
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    "cloud"
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    "expose APIs through MCP",
    "bootstrap MCP integrations"
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    "edge-only Cloudflare Workers deployment without adaptation"
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      "confidence": "medium",
      "evidence": [
        "Matched \"mcp\" in metadata."
      ]
    },
    "deployment": {
      "confidence": "medium",
      "evidence": [
        "Local usage is assumed for open source repositories unless contradicted."
      ]
    },
    "difficulty": {
      "confidence": "medium",
      "evidence": [
        "No strong beginner or advanced signal found; defaulting to intermediate."
      ]
    },
    "cloudflare_ready": {
      "confidence": "high",
      "evidence": [
        "No Cloudflare deployment signal detected.",
        "No wrangler.toml found in inspected repository files."
      ]
    }
  },
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    "stars": 29361,
    "recent_commits": 100,
    "contributors": 100,
    "issue_response_time_hours": null,
    "release_frequency_180d": 56
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  "quality_signal_confidence": {
    "stars_30d_delta": "estimated",
    "commits_30d": "partial",
    "releases_180d": "complete",
    "contributors_90d": "partial"
  },
  "quality_score": 62,
  "agent_score": 86,
  "score": 91,
  "agent_score_breakdown": {
    "documentation": 90,
    "maintenance": 76,
    "deployment": 80,
    "popularity": 89,
    "community": 100
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  "git_top_score_breakdown": {
    "community": 100,
    "maintenance": 84,
    "documentation": 84,
    "stability": 90,
    "adoption": 100,
    "agent_readability": 90
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  "summary": {
    "tl_dr": "Use labring/FastGPT when the user needs a mcp server project with docker, local, cloud deployment options.",
    "purpose": "Use labring/FastGPT when the user needs a mcp server project with docker, local, cloud 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",
      "local",
      "cloud"
    ],
    "alternatives": []
  },
  "evidence": {
    "classification": {
      "category": {
        "confidence": "medium",
        "evidence": [
          "Matched \"mcp\" in metadata."
        ]
      },
      "deployment": {
        "confidence": "medium",
        "evidence": [
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "No strong beginner or advanced signal found; defaulting to intermediate."
        ]
      },
      "cloudflare_ready": {
        "confidence": "high",
        "evidence": [
          "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": "complete",
      "contributors_90d": "partial"
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      "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: stars30dDelta, commits30d, contributors90d."
    ],
    "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.",
    "last_verified_at": "2026-08-15T15:00:16.522Z"
  },
  "caveats": [
    "edge-only Cloudflare Workers deployment without adaptation",
    "Partial or estimated quality signals: stars30dDelta, commits30d, contributors90d."
  ],
  "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.",
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  "last_verified_at": "2026-08-15T15:00:16.522Z",
  "knowledge": {
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      "description": "FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.",
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      "topics": [
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        "claude",
        "deepseek",
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        "rag",
        "workflow"
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      "pushed_at": "2026-08-15T13:34:02Z",
      "synced_at": "2026-08-15T15:00:16.522Z"
    },
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        "expose APIs through MCP",
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      "summary_for_agent": "Use labring/FastGPT when the user needs a mcp server project with docker, local, cloud deployment options.",
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"mcp\" in metadata."
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          "confidence": "medium",
          "evidence": [
            "Local usage is assumed for open source repositories unless contradicted."
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        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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      "schema_version": "v1",
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      "maintenance_score": 76,
      "signal_confidence": {
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        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
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  "resolved_from": {
    "requested_id": "labring/FastGPT",
    "resolved_id": "labring/FastGPT",
    "resolution": "direct"
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    "source": "d1",
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    "project_count": 1105,
    "generated_at": "2026-08-15T16:46:00.937Z",
    "snapshot_id": "d1:1105:2026-08-15T16:30:25.018Z",
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}