Documentation MCP Server logo

Documentation MCP Server

by Shivansh12t

This is a Documentation MCP (Model Context Protocol) Server implemented with Python SDK. It allows you to integrate documentation retrieval into your AI chat clients like Claude or VSCode Copilot.

View on GitHub

Last updated: N/A

What is Documentation MCP Server?

This is a Model Context Protocol (MCP) server that provides documentation context to AI models. It uses the Python SDK to interact with the MCP and can be integrated with clients like Claude Desktop or VSCode Copilot.

How to use Documentation MCP Server?

  1. Clone the repository. 2. Install dependencies using uv or pip. 3. Configure the .env file with your Serper API key. 4. Add the MCP server to VSCode Copilot Chat or Claude Desktop by updating the configuration files with the correct path to the server. 5. Run the server and start using it with your AI client.

Key features of Documentation MCP Server

  • Integration with Claude Desktop

  • Integration with VSCode Copilot Chat

  • Uses Python SDK for MCP

  • Uses Serper API for search tool

  • Supports Agent Mode

Use cases of Documentation MCP Server

  • Providing documentation context to AI models in chat applications

  • Enabling AI models to answer questions based on documentation

  • Improving the accuracy and relevance of AI model responses

  • Integrating documentation retrieval into AI workflows

  • Using AI to search and understand documentation

FAQ from Documentation MCP Server

What is MCP?

Model Context Protocol is a standard for communication between AI models and external tools.

What is Serper API used for?

Serper API is used for the Search Tool to retrieve documentation information.

How do I install the dependencies?

You can use either uv pip sync or pip install "mcp[cli]".

Where do I find my Serper API key?

You need to create an account on Serper and obtain an API key from their website.

Why is uv highly recommended?

uv is a faster and more efficient package manager for Python projects.