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MCP-Server-101

@shiv-rna

Repository

Basic information

Category

Other

Transports

stdio

Author

shiv-rna

About 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 config

Add this server to your MCP-compatible client using the configuration below.

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

MCP-Server-101 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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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