What dependencies are required?
Python 3.12 or higher, plus the Serper API key, MCP library, BeautifulSoup4, and httpx.
@sawantudayan
基本信息
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
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"document-search-mcp-server": {
"command": "uv",
"args": [
"run",
"main.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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")).
dummy_tool to confirm the server is running.Python 3.12 or higher, plus the Serper API key, MCP library, BeautifulSoup4, and httpx.
Make sure the Serper API key is set correctly in the `.env` file. The server will error if it is missing.
Try increasing the timeout values or check your network connectivity. Timeout issues can occur during searches or page fetches.
LangChain (langchain.com), LlamaIndex (llamaindex.ai), and OpenAI (platform.openai.com).
Two tools: `dummy_tool` (simple health check) and `get_docs` (fetches documentation for a given query and library).
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