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fathom-mcp

by veer-mehta
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fathom-mcp

ドキュメントRAGシステム: ドキュメントサイトをクロール → ローカルでチャンク化＋埋め込み (HuggingFace) → Postgres+pgvector に保存 → MCPサーバー、REST API、web UI によるセマンティック検索。

アーキテクチャ

flowchart LR
    A[Browser] --> B[API Server]
    B --> D[Web UI]
    B --> C[(Postgres + pgvector)]
    B --> G[Ingestion Pipeline]
    G --> H[Scraper Subprocess]
    G --> C
    I[AI Client<br/>Claude, Cursor] -->|MCP over stdio| F[MCP Server]
    F --> C

Related MCP server: MCPDocSearch

クイックスタート

git clone ... fathom-mcp && cd fathom-mcp
python -m venv .venv && source .venv/bin/activate
pip install -e ".[local]"
docker compose up -d
cp .env.example .env              # set LLM_API_KEY
.venv/bin/docs-mcp-api            # http://127.0.0.1:8000

npm (クローン不要)

npx @fathom-mcp/server            # first run installs ~5GB deps, then instant
npx @fathom-mcp/server --api      # REST API + web UI

MCPツール

add_documentation · search_documentation · list_sources · get_ingest_status · add_local_docs

REST API

Endpoint

内容

GET /search?q=...

セマンティック検索

GET /sources

インデックス済みソース

POST /upload

ファイルのアップロード

POST /upload-folder

ローカルフォルダのインデックス化

GET /llm-chat?q=...

ドキュメントとチャット

GET /about

システム情報

OpenCode

~/.config/opencode/opencode.jsonc に追加:

{
  "mcp": {
    "fathom-mcp": {
      "type": "local",
      "command": ["npx", "-y", "@fathom-mcp/server"]
    }
  }
}

設定

~/.fathom-mcp/.env — リモート埋め込み (Jina、OpenAI など) には EMBEDDING_PROVIDER=api と EMBEDDING_API_KEY を設定し、HuggingFace を使う場合は local のままにします。

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