"A version control system for managing code" matching MCP servers:

Enables AI agents to manage version control for product assets with tools for creating change sets, comparing versions, approving merges, and exporting receipts.

An MCP server for managing Maven dependency versions using direct metadata parsing from Maven Central. It provides tools to fetch latest stable versions, list version history, and compare versions with upgrade recommendations.

Enables managing technical specifications with version control, search, and comparison features, deployed as a secure Auth0-authenticated Cloudflare Worker.

A comprehensive MCP server that provides AI assistants with tools for file system management, Git integration, and shell command execution. It features specialized code utilities for analysis, formatting, and linting to enhance development workflows within Claude Desktop.

A version management server for MCP skills that enables automated update detection, parallel version testing, and smart merging of custom modifications with official updates. It allows users to safely switch, rollback, and manage local skill versions through a standardized suite of MCP tools.

An MCP server that integrates AI assistants like Claude with GitLab's merge requests, allowing them to review code changes, add comments, and approve/unapprove merge requests directly through the GitLab API.

Fetches, summarizes, and reviews GitHub code diffs with asynchronous processing for large diffs.

Enables Claude Code to record a verifiable history of code changes with before/after and rationale, and to propose changes that users can accept or discard, all reviewable on a local web timeline.

Deterministic code review MCP server that provides tools for file selection, rule matching, comment positioning, and reflection, ensuring stable review quality without LLM calls.

A production-ready MCP server for triaging and reviewing GitHub pull requests via the GitHub REST API, providing typed tools to list, inspect, comment, add labels, and submit reviews.

A production-grade MCP server for the Code-Fundi API, enabling AI agents to map codebases, search semantically, and analyze blast radius. It provides tools for repository management, AI-powered research, and impact analysis before shipping changes.

Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.

An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.

Enables Claude AI to run terminal commands, perform file operations, and manage git in a project directory via the Model Context Protocol.

Safe local MCP server for Windows to list, read, search, patch, backup, and verify code files in allowed folders, with Git integration and dry-run diffs.

An MCP server for automated code review of GitHub pull requests. It checks security, quality, and license issues, and provides tools to list, inspect, and review PRs.

Tracks the complete lineage and DNA of every line of code, enabling impact analysis, bug risk prediction, and code archaeology through deterministic analysis of git history and AST.

MCP server that gives AI agents deep code understanding across multiple git repositories, combining git lifecycle management, Zoekt-based trigram code search, and cross-repo dependency analysis.

An AI-powered code review agent that leverages Model Context Protocol (MCP) and Claude to provide intelligent, context-aware code reviews.

Enables coding agents to generate question-scoped repository maps, inspect symbols and SQL lineage, and audit working-tree diffs for ripple candidates, all verified against the current Git commit.