Library Docs MCP Server

@vikramdse

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

vikramdse

关于 Library Docs MCP Server

Library docs MCP server

#docs-mcp-server#library-docs#mcp-server

Library Docs MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "C:\\Users\\Vikram\\.local\\bin\\uv.exe",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "F:\\My Projects\\AI\\docs-mcp-server\\server.py"
      ]
    }
  }
}

Library Docs MCP Server 工具

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。

概览

What is Library Docs MCP Server?

It is an MCP server that allows you to search and fetch documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI using the Serper API. It is designed for developers using LLMs that have knowledge cut-off dates and need up‑to‑date library documentation.

How to use Library Docs MCP Server?

To use it with Claude Desktop, configure the claude_desktop_config.json file with the command and arguments pointing to the server script via uv. The README provides an example configuration for Windows.

Key features of Library Docs MCP Server

Search library documentation using natural language queries.
Supports Langchain, Llama-Index, MCP, and OpenAI (extensible by code modification).
Uses the Serper API for site‑specific searches.
Parses and returns documentation with BeautifulSoup.
Provides updated documentation useful for LLMs with knowledge cut‑off dates.

Use cases of Library Docs MCP Server

Fetching real‑time documentation from official sources for LLM‑assisted development.
Providing up‑to‑date information when using libraries with recent changes.
Improving response accuracy for LLMs that lack current library knowledge.

常见问题

What libraries does it support?

It currently supports Langchain, Llama-Index, MCP, and OpenAI. You can update the code to add other libraries.

What are the runtime dependencies?

It requires the Serper API, BeautifulSoup, and is run via `uv` (a Python package manager). No other dependencies are explicitly listed.

Where does the documentation data come from?

Documentation is fetched in real time from official sources using the Serper API for site‑specific searches.

How is it authenticated?

The server uses the Serper API, which requires a valid API key. The README does not specify how to set the key, but it is assumed to be configured in the environment or code.

What transport or protocol does it use?

It follows the Model Context Protocol (MCP) standard. The README references Claude Desktop integration via the `mcpServers` configuration.

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