Pygithub
The PyGithub MCP Server is a model context protocol server that interacts with the GitHub API through PyGithub. It provides a modular tool architecture, supporting complete GitHub issue management, intelligent parameter handling, and robust implementation.
2 points
10.3K

What is the PyGithub MCP Server?

The PyGithub MCP server is a tool based on the Model Context Protocol (MCP). It uses the PyGithub library to interact with the GitHub API, enabling users to easily manage and operate on GitHub repositories, issues, pull requests, and other content.

How to use the PyGithub MCP Server?

Users can enable the required functional modules through a simple configuration file or environment variables and use the provided API interfaces to perform various operations, such as creating issues and updating milestones.

Applicable Scenarios

Suitable for development teams and individual developers who need to automate the management of GitHub projects, such as continuous integration, project collaboration, and issue tracking.

Main Features

Complete Issue Management
Supports creating, updating, deleting, and commenting on issues. It also allows adding labels, assigning people, and setting milestones.
Repository Management
Allows users to view and modify the basic information of repositories, such as permission settings and branch protection.
Pull Request Handling
Supports creating, merging, and closing pull requests, facilitating team collaborative development.
Advantages
Easy to integrate into existing workflows
A powerful API abstraction layer reduces redundant coding
Flexible configuration options meet different needs
Limitations
Highly dependent on the GitHub API
Some advanced features may be limited by free accounts
Configuration is relatively complex during the initial installation

How to Use

Install the PyGithub MCP Server
First, ensure that Python 3.10 or a higher version is installed and activate the virtual environment.
Configure the Server
Edit the configuration file or set environment variables to enable the required tool sets.
Start the Server
Run the command to start the PyGithub MCP server.

Usage Examples

Create a new issue
Demonstrate how to create a new issue on GitHub.
Update an existing issue
Modify the status or content of an existing issue.

Frequently Asked Questions

How to generate a personal access token?
Why did my operation fail?

Related Resources

Official Documentation
Detailed API documentation and technical guides.
GitHub Repository
Source code address and contribution guidelines.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "github": {
      "command": "/path/to/repo/.venv/bin/python",
      "args": ["-m", "pygithub_mcp_server"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your-token-here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.1K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
6.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.5K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.9K
4 points
P
Paperbanana
Python
8.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.2K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.2K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.9K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
74.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
67.3K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
36.5K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
52.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase