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.
rating : 2 points
downloads : 5.9K
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.

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
17.0K
4.3 points

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
15.0K
4.5 points

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
25.0K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.5K
4.3 points

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
45.7K
4.5 points

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#
20.6K
5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
65.8K
4.7 points

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
31.2K
4.8 points

