#version-control

When your AI runs git through a shell, it reads back raw command output — hundreds of tokens of noise to extract one piece of information. GitEasy MCP returns structured data: branch names, changed files, commit history — exactly what your AI needs, nothing extra. The same git operation at a fraction of the token cost. 21 tools, plain English, zero shell parsing.

Rewindex Auto-snapshot tool for AI agents. Automatically backs up every file change so you can recover from AI mistakes instantly. Code worry-free. Free and local. - Versioning: snap, rewind, and track every change your AI makes - Change visibility: view diffs, session logs, and full file history - Changelog: flag milestones and export as CHANGELOG.md - Audit code: One AI codes. Another audits. Every session is already logged. Works with any AI agent via MCP. Works with Git. Rewind the code that you didn't commit.

Exposes the full Git workflow to any MCP-compatible AI agent — inspect, write, branch, remote, stash, rebase, LFS, git-flow, documentation lookup, and more. Designed to be safe by default, composable, and fast.

Exposes the full Git workflow to any MCP-compatible AI agent — inspect, write, branch, remote, stash, rebase, LFS, git-flow, documentation lookup, and more. Designed to be safe by default, composable, and fast.

MCP server with 58 tools for Bitbucket API operations. Manage repositories, pull requests, pipelines, branches, commits, deployments, webhooks, tags, branch restrictions, and source browsing. Works with Claude Desktop, Claude Code, and any MCP-compatible client.

Intelligent code versioning (snapshots) and automatic documentation generator. With CLI, REST API, and MCP support.

A test repository created using GitHub MCP server

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.

A Model Context Protocol (MCP) server built in TypeScript that integrates with GitHub's API, enabling AI assistants to manage repositories, issues, pull requests, and code while providing a structured interface for LLM agents to perform GitHub operations.

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