# Version control

The GitHub MCP Server is a server that provides a GitHub API interface, supporting file operations, repository management, search functions, etc. It has features such as automatic branch creation, error handling, and Git history maintenance.

Practices MCP Server is a protocol server designed specifically for AI assistants, which helps development teams achieve standardized development practice management, including Git branch management, version control, PR preparation, and tool integration.

Layer Prompt Manager is a tool for saving, versioning, and managing custom AI prompts in code repositories, which can be seamlessly integrated with AI-driven IDEs.

Git MCP Server is a Git function server based on the Model Context Protocol, providing a secure version control operation interface for large language models. It supports core Git operations, bulk processing, and security management.

The project manages changes through the Changeset tool, and running commands can create change records.

The Gitee MCP Server is a service that allows AI to operate Gitee repositories/issues/pull requests through the Model Context Protocol

mcpn.ai is a tool that helps users create, organize, and share AI workflows and prompts, similar to a dynamic prompt library that can be shared and version - controlled across MCP tools and servers.

Agent Knowledge MCP is a comprehensive knowledge management solution that integrates Elasticsearch search, file operations, document validation, and version control functions, providing powerful knowledge management capabilities for AI assistants.

The Octopus Deploy MCP server is an interactive tool based on the MCP protocol, providing functions for project management, version release, and deployment management, and supporting multi-space operations and Docker containerized deployment.

The LangChain MCP server provides seamless access to the LangSmith prompt library, containing over 1000 community-verified AI prompts, supporting advanced search, metadata viewing, and version control, and is compatible with multiple MCP clients.

The MCP Git Commit Generator is a tool based on the Model Context Protocol that can automatically generate commit messages conforming to the Conventional Commits specification based on staged git changes. It supports multiple installation methods (uvx, PyPI, Docker) and various MCP client configurations, provides functions such as automatic commit message generation and git status checking, and includes developer tools and debugging support.

BuildAutomata Memory is a persistent memory system based on the MCP protocol, providing semantic search and versioned memory storage across sessions for AI agents, supporting intelligent classification, timeline tracing, and multi-tool synchronization

An intelligent version control and documentation generation system that supports the MCP protocol, providing snapshot management, automatic documentation generation, and multi-interface access (CLI, REST, MCP).

An MCP server that connects AI assistants with Bitbucket Cloud, providing 45 tools for code review, pull request management, pipeline monitoring, etc., and supporting platforms such as Claude Code, VS Code, and Cursor.

The MCP service for Bitbucket Server provides tools for managing pull requests through the MCP protocol, including functions such as creating, merging, and commenting.

GitHub Actions workflow configuration for the Magg project, including automated testing, PyPI publishing, and Docker image management functions

Changesets is a build tool for managing code versions and releases

Changesets is a build tool for managing code versions and releases

This is a practice project for the GitHub MCP server, mainly used for practicing basic GitHub operations, branch management, and the Pull Request process. It contains a Python program that implements the Fibonacci sequence using different methods.

This is a Git version control demonstration project created using MCP Server, showcasing functions such as basic Git operations, branch management, and code commits.

A command-line tool for managing Claude MCP server configurations, supporting version control and configuration preset management, and providing a配套 MCP server for AI-assisted management.

This is a practice project for the GitHub MCP server, mainly used to practice basic GitHub operations, branch management, and Pull Request processes. It includes Python implementations of multiple Fibonacci sequence calculation methods.

MCP server for handling GitHub/GitLab integration

An MCP server based on Python for comparing the differences between two texts and generating output in Unified diff format.

An MCP server tool for handling Git conflicts, which can be run directly via npx or integrated into development environments such as Claude Desktop

A code hosting and collaborative development platform based on GitLab

The project is used to manage code change records.

MCP service project for Bitbucket Server

Server management project related to MCP books

The Bounteous MCP Server is a service that implements the Model Context Protocol (MCP), providing standardized integration for LLM applications and version control systems (GitHub and GitLab), and supporting automated functions such as repository management, issue tracking, and code review.