git-mcp

🥇Gold

GitMCP is an innovative, open-source remote MCP server designed to eliminate code hallucinations in GitHub projects. It enhances code accuracy and reliability, making it an essential tool for developers seeking to improve their coding practices.

7,4916480Updated 1mo ago

Intermediate15 minutes to implementdevelopment

Saves ~120 min per use

Quick InstallView Source

claude install idosal/git-mcp

Works with:

GitHub CopilotClaude

Overview

About This Skill

Use Cases

Integrate GitMCP into your CI/CD pipeline to automate code quality checks during builds.

Utilize GitMCP to streamline code review processes by automatically flagging potential issues.

Deploy GitMCP to provide real-time feedback on code changes in collaborative projects.

Use GitMCP to enhance error detection in pull requests, reducing the likelihood of bugs in production.

Best For

GrowthCS

Setup & Installation

Quick Install

Terminal

claude install idosal/git-mcp

Alternative Install (Git Clone)

git clone https://github.com/idosal/git-mcp

Requirements

Claude Code or compatible AI agent
Works with: GitHub Copilot, Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the codebase for [PROJECT_NAME] on GitHub using GitMCP. Identify any instances of code hallucinations or inaccuracies in the [SPECIFIC_FILE_OR_MODULE]. Provide a detailed report on the issues found, including the lines of code affected, the nature of the hallucination, and suggested corrections. Additionally, suggest best practices to prevent similar issues in the future.

Example Output

After analyzing the codebase for the 'E-Commerce Platform' project on GitHub using GitMCP, several instances of code hallucinations were identified in the 'Payment Processing' module. Specifically, in the file 'payment_gateway.py', lines 45-50 contain a hallucinated function 'validate_payment' that does not exist in the project's dependencies. The function is incorrectly used to validate payment details, which could lead to runtime errors. The suggested correction is to replace this function with the existing 'verify_payment' function from the 'payment_utils' module. Additionally, it was found that the 'user_authentication' module has a hallucinated import statement for 'auth_utils' on line 12. This should be corrected to import 'authentication_utils' instead. To prevent similar issues in the future, it is recommended to implement a regular code review process using GitMCP to catch such hallucinations early. Additionally, maintaining an up-to-date documentation of all available functions and modules can help developers avoid using non-existent code.