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Claude AI Documentation Assistant MCP Server

@XPE-7

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

XPE-7

关于 Claude AI Documentation Assistant MCP Server

暂无概览

#claude-ai#documentation-assistant#mcp-server

Claude AI Documentation Assistant 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": {
    "mcp-server-xpe-7": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Claude AI Documentation Assistant 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 🤖 Claude AI Documentation Assistant 📚?

It is an MCP server that enhances Claude with documentation search capabilities for AI and ML libraries. It integrates with the Serper API for web search and the Claude Desktop app, targeting users who need fast, intelligent retrieval of technical documentation.

How to use 🤖 Claude AI Documentation Assistant 📚?

Clone the repository, create a virtual environment, install dependencies, and set the SERPER_API_KEY in a .env file. Start the server with python main.py, then connect the Claude Desktop app via the Tools section by adding a local tool.

Key features of 🤖 Claude AI Documentation Assistant 📚

  • Smart documentation search across multiple AI/ML libraries
  • Seamless integration with Claude’s reasoning capabilities
  • Intelligent web search using the Serper API
  • Fast response times optimized for quick retrieval
  • Extendable architecture to add more documentation sources

Use cases of 🤖 Claude AI Documentation Assistant 📚

  • Ask Claude to explain how to use FAISS with LangChain
  • Search and retrieve documentation for LlamaIndex or OpenAI
  • Look up API details or usage examples from supported libraries
  • Quickly find specific explanations without manual browsing

常见问题

1

What dependencies are required?

Python 3.8 or higher, a Claude Pro subscription, a Serper API key, and the Claude Desktop application.

2

How do I connect to the MCP server?

Open the Claude Desktop app, go to Settings > Tools, click “Add Tool”, select “Connect to a local tool”, and follow the prompts to connect to the running server.

3

What documentation sources are supported?

Currently it supports LangChain (python.langchain.com/docs), LlamaIndex (docs.llamaindex.ai/en/stable), and OpenAI (platform.openai.com/docs). More can be added by editing the `docs_urls` dictionary in `main.py`.

4

What are common issues and how to fix them?

“Connection refused” usually means the server is not running. Timeout errors may indicate poor internet or need for increased timeout. API key issues require verifying the Serper key in the `.env` file.

5

How does the server handle data and searches?

When Claude invokes the `get_docs` tool, the server searches the web via the Serper API, scrapes relevant documentation pages, and returns the content to Claude for analysis. No documentation data is stored locally beyond the search results.

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