git-quick-stats MCP server

git-quick-stats MCP server

Exposes git-quick-stats commands as MCP tools to analyze git repositories via natural language.

Category
Visit Server

README

MCP Server for git-quick-stats

This folder contains a small MCP server that exposes git-quick-stats commands as MCP tools.

Setup

Install uv first (one-time):

curl -LsSf https://astral.sh/uv/install.sh | sh
export PATH="$HOME/.local/bin:$PATH"
cd mcp-server
uv venv .venv
uv sync --dev

Or using Make:

make install

This installs:

  • Runtime dependencies from pyproject.toml
  • Development tools (including Black) from the dev dependency group

Run

uv run -m src.server

The server uses stdio transport, so configure your MCP client to launch this command.

On first tool execution, the server automatically downloads git-quick-stats into .mcp-tools/git-quick-stats inside this project if the script is not already present at project root.

To pin a specific upstream branch/tag/commit for downloads, set:

export GIT_QUICK_STATS_REF=<ref>

Example MCP Client Config

{
  "mcpServers": {
    "git-quick-stats": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/git-quick-stats/mcp-server",
        "-m",
        "src.server"
      ]
    }
  }
}

VS Code Config

Add one of the following entries to your VS Code MCP settings depending on your OS.

Windows (native Python/uv)

{
  "mcpServers": {
    "git-quick-stats": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "C:\\absolute\\path\\to\\git-quick-stats\\mcp-server",
        "-m",
        "src.server"
      ]
    }
  }
}

Windows (WSL Ubuntu)

{
  "mcpServers": {
    "git-quick-stats": {
      "command": "wsl.exe",
      "args": [
        "-d",
        "Ubuntu",
        "uv",
        "run",
        "--directory",
        "/home/your-user/projects/git-quick-stats/mcp-server",
        "-m",
        "src.server"
      ]
    }
  }
}

Linux

{
  "mcpServers": {
    "git-quick-stats": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/git-quick-stats/mcp-server",
        "-m",
        "src.server"
      ]
    }
  }
}

macOS

{
  "mcpServers": {
    "git-quick-stats": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/Users/your-user/path/to/git-quick-stats/mcp-server",
        "-m",
        "src.server"
      ]
    }
  }
}

Make Targets

make help
make bootstrap-uv
make install
make run
make format
make format-check

Docker Compose

Run the MCP server with Docker Compose:

docker compose up --build

Or via Make:

make docker-up
make docker-logs
make docker-down

Usage Notes

  • Set repo_path to the git repository you want to inspect.
  • Some options need extra values, which should be passed using tool arguments:
    • author for options that need _GIT_AUTHOR
    • branch for options that need _GIT_BRANCH
    • tag for options that need _GIT_TAG
  • The --new-contributors option prompts for a date in the shell script. Use stdin_input with one date line, for example: 2025-01-01\n.

AI Output Example

Example tool call from an AI assistant:

{
  "tool": "run_git_quick_stats",
  "arguments": {
    "option": "--new-contributors",
    "repo_path": "/absolute/path/to/git-quick-stats",
    "stdin_input": "2025-01-01\n"
  }
}

Example tool result:

{
  "ok": true,
  "exit_code": 0,
  "stdout": "New contributors since 2025-01-01:\\n\\n     1  example.user@example.com\\n...",
  "stderr": ""
}

Example AI response to user:

New contributors report generated successfully using stdin date input (2025-01-01). I can also run the same report for another date range if you want.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured