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.
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?
- 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?
What is MCP?
Model Context Protocol is a standard for communication between AI models and external tools.
What is Serper API used for?
What is Serper API used for?
Serper API is used for the Search Tool to retrieve documentation information.
How do I install the dependencies?
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?
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?
Why is uv highly recommended?
uv is a faster and more efficient package manager for Python projects.