gh-self-reviewer is a MCP server tool that helps developers automatically list, review, and comment on their GitHub pull requests using AI integration, streamlining the code review process.
Added on:
Created by:
Apr 13 2025
gh-self-reviewer is a MCP server tool that helps developers automatically list, review, and comment on their GitHub pull requests using AI integration, streamlining the code review process.
Added on:
Created by:
Apr 13 2025
Alessandro Resta
Featured
What is gh-self-reviewer?
gh-self-reviewer is a Go-based MCP server designed for self-reviewing GitHub pull requests. It provides functionalities such as listing all open pull requests across repositories, commenting on individual pull requests, and integrating with Claude AI for intelligent review assistance. Developers can set it up by providing a GitHub personal access token and configuring it with Claude AI. Once configured, users can list open PRs, review specific PRs, and add comments, which accelerates code quality assurance. It is especially useful for developers who want automated, consistent, and AI-assisted code reviews to improve their software development workflow.
Who will use gh-self-reviewer?
- Developers who manage multiple GitHub repositories
- Software teams implementing automated code review processes
- Open-source contributors seeking AI-assisted feedback
- DevOps engineers integrating CI/CD workflows
How to use the gh-self-reviewer?
- Step 1: Generate a GitHub personal access token with 'repo' scope
- Step 2: Build the tool from source using Go and connect with your token
- Step 3: Configure the MCP server with Claude AI by setting the environment variables
- Step 4: Run the MCP server executable
- Step 5: Use commands via integrated AI tools to list or review pull requests
gh-self-reviewer's Core Features & Benefits
The Core Features
- List all open pull requests across repositories
- Comment on pull requests
- Integrate with Claude AI for review assistance
The Benefits
- Automates the process of reviewing pull requests
- Provides AI-driven feedback to improve code quality
- Saves developer time on manual reviews
- Supports multi-repository management
gh-self-reviewer's Main Use Cases & Applications
- Automated self-review of pull requests in multi-repo projects
- Using AI to improve code review quality and consistency
- Streamlining developer workflows in CI/CD pipelines
- Assisting open-source contributors with AI feedback
FAQs of gh-self-reviewer
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.