Git MCP Server 7ci

A Git server based on the Model Context Protocol that provides a standardized interface for AI assistants and LLM agents to manage Git repositories, branches, commits, and file operations without direct access to the file system or command line.

Version control Developer tools #Git Service #MCP Protocol #Repository Management #Version Control .TypeScript

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downloads : 5.3K

update time : 2025-04-23

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What is GIT MCP Server?

GIT MCP Server is a Git management tool specifically designed for AI assistants. It provides a set of standardized Git operation interfaces through the Model Context Protocol (MCP). This server allows AI systems to securely perform Git repository management operations without directly accessing the file system or using the command line.

How to use GIT MCP Server?

Using GIT MCP Server is very simple. Just install the server and communicate with it through the MCP protocol. AI assistants can send standardized MCP requests to perform various Git operations, such as cloning repositories, managing branches, and committing changes.

Use Cases

GIT MCP Server is particularly suitable for the following scenarios: 1. AI assistants need to manage code repositories 2. Workflows for automated Git operations 3. Environments that require secure isolation of Git operations 4. Collaborative development projects among multiple AI systems

Main Features

Repository Management

Initialize new repositories, clone existing repositories, and check repository status

Branch Operations

Create, list, checkout, delete, and merge branches

Working Directory Operations

Stage files, commit changes, and view differences

Remote Operations

Manage remote repositories, pull and push changes

Advanced Operations

Tag management, stash changes, cherry-pick commits, rebase, etc.

Advantages

Standardized interface: Provides a consistent way to perform Git operations through the MCP protocol

Security: AI systems do not need direct access to the file system or command line

Flexibility: Supports all major Git operations

Scalability: Easy to integrate into existing AI systems

Limitations

Requires Node.js and Git environments

Performance may be slightly lower than direct Git command-line operations

Some advanced Git features may require additional configuration

How to Use

Install the Server

Install GIT MCP Server globally via NPM

Start the Server

Run the server, and it will communicate through stdin/stdout

Integrate into AI Systems

Configure your AI system (e.g., Claude) to connect to the MCP server

Usage Examples

AI Assistant Creates a New Feature Branch

The AI assistant needs to create an independent branch for a new feature

Automatically Commit Code Changes

The AI system automatically commits the code changes it generates

Code Synchronization in Collaborative Development

Synchronize code changes when multiple AI systems collaborate on development

Frequently Asked Questions

What running environment does GIT MCP Server require?

How to ensure the security of operations?

Does it support private repositories?

How to handle conflicts?

Related Resources

Git MCP Server GitHub Repository

Source code and issue tracking for the project

Model Context Protocol Official Website

Official documentation for the MCP protocol

Git Official Documentation

Official reference documentation for Git

Node.js Download

Download the Node.js runtime environment

🚀 GIT MCP Usage Documentation

GIT MCP is a tool designed for managing and operating Git repositories. It offers a rich set of commands to assist developers in efficient version control.

🚀 Quick Start

GIT MCP simplifies the process of Git repository management. With its diverse commands, developers can handle various version - control tasks effortlessly.

✨ Features

Feature Highlights

Code Repository Management: Supports creating, cloning, deleting, and managing multiple code repositories.
Branch Operations: Provides functions for creating, switching, merging, and deleting branches.
Remote Repository Interaction: Enables efficient collaboration with remote repositories such as GitHub and GitLab.
Tag Management: Supports creating, listing, and deleting tags in the code repository.
Commit History: Displays the complete commit history, including author information, commit time, and commit descriptions.
File Viewing: Allows viewing the content of specific files under a specified version or branch.
Difference Analysis: Compares code changes between different versions.

Common Commands

Repository Management

Command	Description
`git - mcp init`	Initialize a new Git repository.
`git - mcp clone [url]`	Clone a remote repository to the local machine.
`git - mcp add [file - path]`	Add the specified file to version control.
`git - mcp rm [file - path]`	Remove the specified file from version control.
`git - mcp clean`	Delete untracked files in the working directory.

Commit Operations

Command	Description
`git - mcp status`	Check the status of the current repository.
`git - mcp commit`	Commit staged changes.
`git - mcp push`	Push local commits to the remote repository.
`git - mcp pull`	Pull the latest updates from the remote repository.

Branch Management

Command	Description
`git - mcp branch`	View all branches.
`git - mcp checkout`	Switch to the specified branch.
`git - mcp merge`	Merge the specified branch into the current branch.

📚 Documentation

GIT MCP Resources

MCP provides the following resources to help developers operate Git:

Help Documentation

User Manual: Offers detailed command descriptions and usage guides.
API Documentation: Introduces MCP's API interfaces and their usage methods.

Example Code Repositories

The examples folder contains multiple demonstration projects covering different usage scenarios.

🔧 Technical Details

Local Development

Script Command	Description
`npm install`	Install MCP dependencies.
`npm run build`	Build the MCP tool.

Contribution Guidelines

Code Style: Follow the requirements in the project's .stylelintrc file.
Testing Requirements: Run unit tests before submission to ensure all checks pass.
Commit Guidelines:
- Commit messages should include the type and scope, e.g., feat: Add a new feature.
- Commit descriptions should be concise and clear.