MCP servers for Git, GitHub and GitLab: read diffs and history, open pull requests, triage issues and review code from your AI assistant. 346 servers in this category.
Independently verifies AI agent work in local git repositories by running targeted checks and cross-referencing agent claims with actual code changes.
Provides AI agents with scoped git and GitHub operations including branch management, pull requests, and CI checks with built-in security guardrails.
Enables AI clients to manage repositories, pull requests, issues, and CI actions on Codeberg, Gitea, or Forgejo instances with multi-account support.
Fixes git mistakes from plain-language requests using a sandboxed agent with automated backups and safety guardrails.
Converts git history into grouped GitHub issues with checklists and commit links to help maintain a readable project history.
Allows an AI client to interact with Mercurial repositories, including committing, branching, merging, and history rewriting.
Performs agentic AI code reviews on GitLab MRs and GitHub PRs by posting actionable findings as inline threads using your preferred LLM.
Provides AI agents with 31 specialized tools for version control, ticketing, wiki management, and repository administration within Fossil SCM repositories.
Enables Claude to inspect, analyze, and grade local Git repositories through statistics, TODO scanning, and health scoring.
$claude mcp add devinsight-mcp -- uvx devinsight-mcp
Analyzes git history to identify risky files, code ownership, change coupling, and bus factor for codebase intelligence.
Scans git history and working trees for accidentally committed secrets while ensuring raw credentials never reach the AI agent.
Scans git repositories and history for sensitive credentials using regex and entropy while ensuring secrets are redacted before reaching the AI agent.
Analyzes codebases and git history to provide impact analysis, dependency mapping, and ownership information for developers and AI agents.
Allows AI agents to read, search, and analyze code across local and remote git repositories including history, diffs, and blame.
Enables AI clients to perform RAG over GitHub engineering history, including pull requests, review threads, issues, and commits.
Enables Alexa+ to perform real-world developer actions like running tests, inspecting workspaces, and managing git commits via voice commands.
Provides local project memory for AI coding agents by indexing code, Git history, and repository discussions with cited context.
Enforces, validates, and generates Conventional Commits and branch names for Git repositories.
Analyzes daily commits across multiple repositories to produce structured Markdown reports and quality dashboards using AI.
Integrates committed work from multiple AI coding agents through a local Git merge queue with automated validation and durable receipts.