Documentation MCP Server 📚🔍

A Model Context Protocol (MCP) server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

What is MCP? 🤔

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to Large Language Models. Think of it as a universal connector that lets AI assistants like Claude access external data sources and tools.

Features ✨

• Documentation Search Tool: Search through documentation of popular AI libraries
• Supported Libraries:
  • LangChain 🔗
  • LlamaIndex 🦙
  • OpenAI 🤖
• Smart Extraction: Intelligently parses HTML content to extract the most relevant information
• Configurable Results: Limit the amount of text returned based on your needs

How It Works 🛠️

1. The server uses the Serper API to perform Google searches with site-specific queries

2. It fetches the content from the search results

3. BeautifulSoup extracts the most relevant text from main content areas

4. Claude can access this information through the `get_docs` tool

System Requirements 🖥️

• Python 3.11 or higher
• `uv` package manager
• A Serper API key

Setup Instructions 🚀

1. Install uv Package Manager

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Clone and Set Up the Project

# Clone or download the project
cd documentation

# Create and activate virtual environment
uv venv
# On Windows:
.venv\Scripts\activate
# On macOS/Linux:
source .venv/bin/activate

# Install dependencies
uv pip install -e .

3. Configure the Serper API Key

Create a `.env` file in the project directory with your Serper API key:

SERPER_API_KEY=your_serper_api_key_here

You can get a Serper API key by signing up at serper.dev.

4. Configure Claude Desktop

Edit your Claude Desktop configuration file at:

• Windows: `/C:/Users/[Your Username]/AppData/Roaming/Claude/claude_desktop_config.json`

• macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`

Add the following to the `mcpServers` section:

"documentation": {
  "command": "uv",
  "args": [
    "--directory",
    "/ABSOLUTE/PATH/TO/YOUR/documentation",
    "run",
    "main.py"
  ]
}

Replace `/ABSOLUTE/PATH/TO/YOUR/documentation` with the absolute path to your project directory.

5. Restart Claude Desktop

Close and reopen Claude Desktop to apply the new configuration.

Using the Documentation Tool 🧩

Once connected, you can ask Claude to use the documentation tool:

> "Can you look up information about vector stores in LangChain documentation?"

Claude will use the `get_docs` tool to search for relevant information and provide you with documentation excerpts.

Tool Parameters 📋

The `get_docs` tool accepts the following parameters:

• `query`: The search term (e.g., "vector stores", "embedding models")
• `library`: Which library to search (langchain, llama-index, or openai)
• `max_chars`: Maximum characters to return (default: 1000)

Troubleshooting 🛠️

• Claude can't find the server: Verify the path in `/C:/Users/fcbsa/AppData/Roaming/Claude/claude_desktop_config.json` is correct
• Search returns no results: Check your Serper API key and internet connection
• Timeout errors: The server might be experiencing connectivity issues or rate limits

License 📜

This project is provided as an educational example of MCP server implementation.

Acknowledgements 🙏

• Built using the MCP SDK
• Powered by Serper API for Google search integration
• Uses BeautifulSoup4 for HTML parsing
• Inspired by the growing MCP community

*This MCP server enhances Claude's capabilities by providing direct access to documentation resources. Explore, learn, and build better AI applications with contextual knowledge from the docs!*