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Dev-Kit GitHub MCP Server

Dev-Kit GitHub MCP Server

Local
github.com/DanielAvdarVersion Control2Updated 6d ago

About Dev-Kit GitHub MCP Server

Dev-Kit GitHub MCP Server provides focused repository operations through GitHub’s API. It is intended for automation, bots, and AI agents that need to manage issues, pull requests, commits, and tags.

Key features

  1. 01List, create, and comment on issues
  2. 02List and comment on pull requests
  3. 03List commits and tags
  4. 04Extensible repository operations
  5. 05Linux, Windows, and macOS support

Use cases

  1. 01Automating issue workflows
  2. 02Managing pull requests with bots
  3. 03Retrieving repository commits and tags

MCP support

Exposes GitHub repository operations to MCP clients, including issue and pull request actions and commit and tag listings.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Dev-Kit GitHub MCP Server

PyPI - Python Version version License OS OS OS Tests Code Checks codecov Ruff Last Commit

A modern, fast, and extensible GitHub Model Context Protocol (MCP) server for focused repository operations.

  • 🚀 Fast, async, and robust
  • 🧪 Fully tested with real GitHub API mocks
  • 🛠️ Easy to extend with new repo/issue/PR operations
  • 🐙 Works on Linux, Windows, and macOS

Features

  • List, create, and comment on issues and pull requests
  • List commits, tags, and more
  • Designed for automation, bots, and AI agents

Quick Start

pip install dev-kit-gh-mcp-server

Usage

See the docs for API and tool usage examples.

Development

  • Run all checks: make check
  • Run tests: pytest

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.