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Git MCP Server

MCP Server

Secure Git operations for LLMs via MCP

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Updated Dec 25, 2024

About

A Model Context Protocol server that exposes comprehensive Git functionality—initialization, cloning, branching, commits, and bulk actions—to large language models through a standardized, secure interface.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Cyanheads Git MCP Server is a dedicated Model Context Protocol (MCP) implementation that exposes full Git functionality to large language models. By acting as a secure, protocol‑driven gateway, it allows AI assistants such as Claude to perform version control operations—initializing repositories, staging files, committing changes, branching, and pushing—to remote hosts without direct access to the underlying file system. This separation of concerns protects both the host environment and the LLM, ensuring that all Git commands are validated, logged, and executed within a controlled sandbox.

For developers, the server transforms a traditionally manual workflow into an AI‑driven one. Instead of typing complex commands, a developer can simply describe the desired change in natural language and let the model translate it into precise Git actions. The server’s toolset covers every core operation, from and to , , , and . It also offers bulk operations that execute a sequence of commands atomically, reducing the risk of partial commits and making it easier to script multi‑step workflows such as “add all changes, commit with a message, and push the current branch.”

Key features include path validation, repository state verification, and comprehensive error reporting. These safeguards prevent accidental data loss or unauthorized access to unrelated directories. The server’s configuration is straightforward, requiring only a command line entry in the MCP client and an optional default path environment variable. Because it follows the official MCP 1.0.3 specification, any compliant client—whether a desktop LLM interface or an IDE plugin—can integrate seamlessly.

Real‑world scenarios where this MCP server shines include continuous integration pipelines that need to commit test results, code review bots that automatically tag and merge branches, or educational tools that let students experiment with Git without leaving the chat interface. By abstracting Git into a standardized, AI‑friendly API, the Cyanheads Git MCP Server empowers developers to harness version control directly from conversational agents, boosting productivity and reducing friction in software development workflows.