Github PR MCP Server
A TypeScript - based MCP server for analyzing GitHub Pull Requests.
rating : 2.5 points
downloads : 43
What is the GitHub PR MCP Server?
The GitHub PR MCP Server is a tool designed specifically for analyzing GitHub Pull Requests. It helps developers quickly evaluate and review code changes, thereby improving team collaboration efficiency.How to use the GitHub PR MCP Server?
Simply install the dependencies and run the server to start analyzing Pull Requests. It supports multiple installation methods, including automatic installation and manual installation.Applicable Scenarios
Suitable for development teams that frequently handle GitHub Pull Requests, especially for code review work in large - scale projects.Main Features
Pull Request AnalysisAutomatically detect code quality, potential risks, and improvement points in Pull Requests.
Multi - language SupportCompatible with multiple programming languages to ensure efficient review of cross - language projects.
Real - time FeedbackProvide immediate feedback to help developers quickly fix issues.
Advantages and Limitations
Advantages
Improve code review efficiency
Reduce manual review time
Support multiple languages and frameworks
Limitations
Require a Node.js environment
May require more configuration for complex projects
How to Use
Clone the Repository
Clone the GitHub PR MCP Server to your local machine via Git.
Install Dependencies
Use npm to install the required dependencies.
Build the Project
Compile TypeScript files to JavaScript.
Start the Server
Run the server to start analyzing Pull Requests.
Usage Examples
Case 1: Code Quality CheckAnalyze the code style and potential errors in a Pull Request.
Case 2: Multi - language SupportHandle Pull Requests containing multiple programming languages.
Frequently Asked Questions
How to install the GitHub PR MCP Server?
Does the server support multiple programming languages?
Does the server have a graphical interface?
Related Resources
GitHub Repository
The official code repository for the GitHub PR MCP Server.
Smithery Installation Guide
A guide for quickly installing the server via Smithery.
Technical Blog
Technical articles about the GitHub PR MCP Server.
Featured MCP Services

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
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

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
79
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
130
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#
554
5 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
6.6K
4.5 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
5.2K
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
745
4.8 points