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MCP-Server-101

@shiv-rna

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

shiv-rna

关于 MCP-Server-101

This project 🌐 is a robust implementation of the Model Context Protocol (MCP), designed to facilitate seamless integration and interaction with various documentation sources. It provides tools for querying and extracting relevant information from documentation, making it an esse

#ai#mcp#claude-ai#mcp-server#mcp-client

MCP-Server-101 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-101": {
      "command": "uv",
      "args": [
        "init",
        "mcp-server"
      ]
    }
  }
}

MCP-Server-101 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 MCP-Server-101?

MCP-Server-101 is a robust implementation of the Model Context Protocol (MCP) that provides tools for querying and extracting information from documentation sources. It integrates with web search and content fetching to assist developers working with libraries like langchain, openai, and llama-index.

How to use MCP-Server-101?

Set up a Python 3.12+ environment with the uv package manager, install dependencies (mcp[cli], httpx, beautifulsoup4, dotenv), and create the server file main.py. Run uv run main.py to start the server over stdio transport. A Serper.dev API key is required. For integration with Claude Desktop, add the server configuration to claude_desktop_config.json.

Key features of MCP-Server-101

  • Environment configuration via dotenv for secure variable management.
  • Web search using the Serper.dev API (up to two results).
  • Web content fetching with httpx and BeautifulSoup.
  • get_docs tool for searching documentation of supported libraries.
  • Asynchronous operations for efficient network requests.
  • Extensible modular design for adding new tools.

Use cases of MCP-Server-101

  • Querying documentation for langchain, openai, or llama-index directly from an AI assistant.
  • Performing general web searches to retrieve current information.
  • Fetching and parsing visible text from any webpage.
  • Integrating documentation search into Claude Desktop or other MCP hosts.

常见问题

1

What is the Model Context Protocol (MCP)?

MCP is an open, standardized protocol that connects AI models with external data sources and tools, using a client-server architecture. It provides resources, tools, and prompts to extend AI capabilities.

2

What are the runtime requirements for MCP-Server-101?

The server requires Python 3.12 or higher, `pip`, a Serper.dev API key, and dependencies including `mcp[cli]`, `httpx`, `beautifulsoup4`, and `dotenv`. Dependencies are managed with `uv` and locked via `uv.lock`.

3

How do I connect MCP-Server-101 to Claude Desktop?

Configure `~/Library/Application Support/Claude/claude_desktop_config.json` with the command `uv run main.py` from your project directory, then restart Claude Desktop.

4

Which libraries are supported by the documentation search tool?

The `get_docs` tool currently supports `langchain`, `openai`, and `llama-index`. It performs web searches constrained to each library’s documentation domain.

5

What transport method does MCP-Server-101 use?

The server uses stdio transport, executed via the `mcp.run` method, making it suitable for integration with local MCP clients.

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