What is Github Chat Mcp

github-chat-mcp is a Model Context Protocol (MCP) designed for analyzing and querying GitHub repositories using the GitHub Chat API.

Use cases

Use cases include analyzing the architecture of a repository, querying the tech stack used, and retrieving specific information about repository contents.

How to use

To use github-chat-mcp, first obtain a GitHub Chat API key. Then, add the MCP to your Claude config file with the appropriate command and environment variables. You can start using it by indexing a GitHub repository and asking questions about it.

Key features

Key features include the ability to analyze GitHub repositories, query their content, and interact with the GitHub Chat API seamlessly.

Where to use

github-chat-mcp can be used in software development, project management, and any field that requires deep analysis of GitHub repositories.

GitHub Chat MCP

A Model Context Protocol (MCP) for analyzing and querying GitHub repositories using the GitHub Chat API. Official Site: https://github-chat.com

Installation

# Install with pip
pip install github-chat-mcp

# Or install with the newer uv package manager
uv install github-chat-mcp

3. Start using it with Claude!

Example prompts:

• “Use github-chat-mcp to analyze the React repository”
• “Index the TypeScript repository with github-chat-mcp and ask about its architecture”

GitHub Chat MCP server

Setup Instructions

Before anything, ensure you have a GitHub Chat API key. This is required to use the service.

Install uv first.

MacOS/Linux:

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

Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Setup with Cursor (Recommended)

In mcp.json:

{
  "mcpServers": {
    "github-chat": {
      "command": "uvx",
      "args": [
        "github-chat-mcp"
      ]
    }
  }
}

With above, no envs required since it’s a freemium release.

Setup with Claude Desktop

Installing via Smithery

You can install GitHub Chat for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install github-chat-mcp --client claude

Using GitHub Chat with Claude

1. Index a GitHub repository first:
   “Index the GitHub repository at https://github.com/username/repo”

2. Then ask questions about the repository:
   “What is the core tech stack used in this repository?”

Debugging

Run:

npx @modelcontextprotocol/inspector uvx github-chat-mcp

Local/Dev Setup Instructions

Clone repo

git clone https://github.com/yourusername/github-chat-mcp.git

Install dependencies

Install uv first.

MacOS/Linux:

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

Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Then install MCP server dependencies:

cd github-chat-mcp

# Create virtual environment and activate it
uv venv

source .venv/bin/activate # MacOS/Linux
# OR
.venv/Scripts/activate # Windows

# Install dependencies
uv sync

Setup with Claude Desktop

Using MCP CLI SDK

# `pip install mcp[cli]` if you haven't
mcp install /ABSOLUTE/PATH/TO/PARENT/FOLDER/github-chat-mcp/src/github_chat_mcp/server.py -v "GITHUB_API_KEY=API_KEY_HERE"

Manually

Using GitHub Chat with Claude

1. Index a GitHub repository first:
   “Index the GitHub repository at https://github.com/username/repo”

2. Then ask questions about the repository:
   “What is the core tech stack used in this repository?”

Debugging

Run:

# If mcp cli installed (`pip install mcp[cli]`)
mcp dev /ABSOLUTE/PATH/TO/PARENT/FOLDER/github-chat-mcp/src/github_chat_mcp/server.py

# If not
npx @modelcontextprotocol/inspector \
      uv \
      --directory /ABSOLUTE/PATH/TO/PARENT/FOLDER/github-chat-mcp \
      run \
      github-chat-mcp

Then access MCP Inspector at http://localhost:5173. You may need to add your GitHub API key in the environment variables in the inspector under GITHUB_API_KEY.

Notes

• Level of logging is adjustable through the FASTMCP_LOG_LEVEL environment variable (e.g. FASTMCP_LOG_LEVEL="ERROR")
• This MCP server provides two main tools:
  1. Repository Indexing - Index and analyze a GitHub repository
  2. Repository Querying - Ask questions about the indexed repository