MCP Project

MCP Project

The MCP project is a collection of message control protocol services for local AI applications, including a server and client modules for Git operation management.

Version control Developer tools #Git management #REST API #AI tools .JavaScript

rating : 2 points

downloads : 7.1K

update time : 2025-04-28

What is the Git MCP server?

The Git MCP server is a middleware service that converts complex Git command-line operations into simple REST API interfaces. It is particularly suitable for AI applications that need to integrate version control functions, allowing code repository management without directly handling Git commands.

How to use the Git MCP server?

You can perform Git operations by making HTTP requests to the API endpoints. It supports common functions such as cloning repositories, committing changes, and branch management. Python/JavaScript client libraries are provided to simplify integration.

Use cases

Integration of AI development toolchains, automated code management platforms, version control for users without Git experience, and team collaboration environments that require audit logs

Main features

Full support for Git commands

All common Git operations such as clone, commit, push, and pull are provided through the API

Centralized repository management

The server maintains the status of all connected code repositories without the need for local storage

Multi-language client libraries

Client SDKs for popular languages such as Python/Node.js are provided

Advantages

Use version control without installing a Git environment

Standardized API interfaces reduce integration complexity

Complete audit logs for operation records

Support parallel management of multiple repositories

Limitations

Performance is limited for large file repositories

Requires an internet connection

Some advanced Git functions require special configuration

How to use

Install the server

Quickly deploy the service through a Docker container

Configure the repository

Add the Git repository addresses to be managed in the management interface

Call the API

Use an HTTP client or the official SDK to perform Git operations

Usage examples

Automatic AI code submission

Automatically create a commit and push it to the remote repository after the AI generates code

Multi-branch experiment management

Create independent branches for each AI model experiment

Frequently Asked Questions

Do I need professional Git knowledge?

Does it support private repositories?

What is the maximum supported repository size?

Related resources

Git MCP client library documentation

Official client library API reference

Example project repository

Example code demonstrating various use cases

API debugging tool

Interactive API testing interface

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