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Version Control

Interact with Git repositories and version control platforms. Enables repository management, code analysis, pull request handling, issue tracking, and other version control operations through standardized APIs.

MCP ServersBrowse all →

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    Provides fresh project context to coding agents by combining Markdown documentation and live Git state, enabling deterministic startup briefs and bounded document retrieval for MCP-compatible tools.
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    Apache 2.0
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    Enables interaction with the Tembo API to manage organization tasks and view enabled code repositories. Users can create, search, and list tasks or retrieve account information directly through MCP-compatible clients.
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    MIT
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    A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.
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    MIT
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    Enables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.
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    MIT
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    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.
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    MIT
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    MCP server for GitHub code retrieval and reuse, using SQLite+FTS5 indexing and search history to enable search-first, requirements-refined code search from GitHub repositories.
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    MIT
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    The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira, and more.
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    MIT
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    Baron gives an AI coding agent one normalized contract for work orchestration: create and transition issues, cut branches, open and merge pull requests, and read CI and deployment status across Azure DevOps, GitHub and Slack.
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    Apache 2.0
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    Enables AI agents to manage Contentrain CMS content, models, and assets with automatic git branch synchronization across different environments. It provides standardized tools for performing CRUD operations on git-based headless CMS projects through natural language.
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    Decentralized Git with on-chain governance, bounties, and DAOs. Tools for repos, issues, PRs, labels, releases, bounties, and DAO proposals. Auto-wallet on first use, trust tiers, and approval mode for human-in-the-loop.
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    MIT
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    Enables AI to read and analyze repository incident scan results, including file diffs and summaries, to help investigate suspicious changes. It is read-only and does not execute code or send data externally.
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    MIT
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    Generates a daily standup note from GitLab merge request or GitHub pull request state: what is ready to merge, what is blocked, what is stale, and what is waiting on your review. When CI is red it opens the failed job's log and reports the error lines, so the note says why the pipeline failed rather than just that it did.
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    MIT
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    MCP server that ranks and deduplicates your GitHub pull request review queue across direct requests, team requests, and your own waiting PRs into a single prioritized list via one get_review_queue tool.
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    Apache 2.0
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    An MCP server that leverages a GitHub-compatible API as a durable memory store for AI agents, enabling automatic memory storage, recall, and management without requiring signup or API keys.
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    MIT
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    Enables AI assistants to search and explore Chromium and PDFium source code, check Gerrit code reviews with test results and bot errors, search issues, and analyze commit history through Google's official APIs.
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    Connects LLMs and AI agents directly to GitHub repositories, enabling repository inspection, file and tree exploration, code search, commit history, issues, pull requests, and releases for both public and private repos.
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    MIT
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    Version-control-native project memory for AI agents: an encrypted knowledge graph whose beliefs are staleness-checked deterministically against repo history — belief bisect names the commit that invalidated a fact, and agents write their own evidence-anchored beliefs via propose_belief. Also exposes changeset proposals and per-changeset token cost reporting; bridges to plain Git.
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    MIT
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    Enables code review operations on GitHub and GitLab, including fetching pull/merge requests, viewing diffs, adding comments, analyzing code quality, and creating merge requests directly from your MCP client.
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    MIT

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