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Python MCP Server - Documentation Search

@sawantudayan

リポジトリ

基本情報

カテゴリ

検索

ライセンス

MIT

トランスポート

stdio

作者

sawantudayan

Python MCP Server - Documentation Search について

MCP (Model Context Protocol) server that allows users to search for documentation from popular libraries such as LangChain, LlamaIndex, and OpenAI using the Serper API. The server fetches search results and extracts the relevant documentation from the web using HTTP requests and

#openai#langchain#mcp-server#mcp-tools

Python MCP Server - Documentation Search の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "document-search-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "main.py"
      ]
    }
  }
}

Python MCP Server - Documentation Search のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Python MCP Server - Documentation Search?

Python MCP Server - Documentation Search is a Minimal Command Protocol (MCP) server that lets users search documentation from popular libraries (LangChain, LlamaIndex, and OpenAI) using the Serper API. It fetches search results and extracts the relevant web page text with HTTP requests and BeautifulSoup.

How to use Python MCP Server - Documentation Search?

Install Python dependencies, set up a .env file with your Serper API key, and run uv run main.py. Then, from an interactive MCP client, invoke the get_docs tool with a query and library name (e.g., get_docs("Chroma DB", "langchain")).

Key features of Python MCP Server - Documentation Search

  • Supports documentation search for LangChain, LlamaIndex, and OpenAI.
  • Uses Serper API for web searches.
  • Extracts and returns text from relevant documentation pages.
  • Can be used interactively through the MCP protocol.
  • Includes a dummy_tool to confirm the server is running.

Use cases of Python MCP Server - Documentation Search

  • Search for specific topics in LangChain documentation (e.g., "Chroma DB").
  • Retrieve latest documentation content from LlamaIndex.
  • Look up OpenAI library documentation via a unified interface.

よくある質問

1

What dependencies are required?

Python 3.12 or higher, plus the Serper API key, MCP library, BeautifulSoup4, and httpx.

2

How do I fix a missing API key error?

Make sure the Serper API key is set correctly in the `.env` file. The server will error if it is missing.

3

What should I do if searches or URL fetches time out?

Try increasing the timeout values or check your network connectivity. Timeout issues can occur during searches or page fetches.

4

Which libraries are available for documentation search?

LangChain (langchain.com), LlamaIndex (llamaindex.ai), and OpenAI (platform.openai.com).

5

What tools does the server provide?

Two tools: `dummy_tool` (simple health check) and `get_docs` (fetches documentation for a given query and library).

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