Popular MCP Servers

Universal Git-powered persistent memory, context rules & native MCP server for AI coding agents. Prevents context amnesia with stateful workflows, Git Notes, and cross-model review gates across Claude, OpenAI, Gemini & DeepSeek in Cursor, Claude Code & VS Code.

Official Codna MCP server with Mojo-powered risk simulation. Maps repos with zero LLM tokens. 5 stdio tools: triage, root-cause analysis and fix plans (optional PRs), SARIF reachability proof, on-device code memory and bug reporting. Introspection needs no credentials; execution requires a one-time free codna login. Source: cli/codna/mcp_server.py. Registry: io.github.thyn-ai/codna.

Git and GitHub operations — repo status, diffs, branches, stashes, PRs, issues, and Actions from MCP.

Kin is an open-source code repository for people and AI agents. It versions code and recorded relationships together.

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.

Provides tools to read local git repositories and fetch public web pages without external APIs, configurable via environment variables or JSON files.

Enables agents to explore org-wide context across domains, repositories, and data sources; read and participate in GitHub Discussions; and run read-only SQL queries over public GCS parquet datasets.

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

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.

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.

Enables coding agents to retrieve pull request review findings, reproduce and fix them locally, reply on review threads, report reproduction results, and request fresh reviews.

Provides a git-aware knowledge base for AI coding agents to store and retrieve memories anchored to code changes, with automatic staleness detection.

Open-source team memory layer for AI coding agents. Markdown-in-git, user/team/org hierarchy, MCP. Apache-2.0.

Local-first memory layer for AI coding agents — Markdown as source of truth, MCP server + CLI, human-reviewed capture, team knowledge via git PRs

Enables AI assistants to query, create, update, and propose changes to Infrahub infrastructure data through the Model Context Protocol, with branch isolation and human approval for changes.

Enables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.

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 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.

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.

A Model Context Protocol server that provides AI assistants with access to Microsoft Teams, enabling interaction with teams, channels, chats, and organizational data through Microsoft Graph APIs.

Enables AI agents to screen GitHub repositories and pull requests for risk analysis, generating risk scores, findings, and merge-readiness signals.

Enables AI assistants to manage Typst and LaTeX projects on self-hosted Typleaf instances, including reading and editing documents, compiling to PDF, analyzing structure and page layout, checking citations, and reviewing git history.

Enables AI assistants to answer questions about nixpkgs packages using nixkeeper's public data, covering outdated versions, Hydra build status and failures, update-bot attempts, related PRs and issues, CVEs, and what needs attention for a maintainer or team. It runs locally over stdio, reads only public data, and requires no account or token.

A Model Context Protocol server that provides AI assistants with comprehensive access to WordPress.org Trac data, enabling intelligent queries about WordPress development, ticket tracking, and code changes.

Enables interaction with Gerrit code review system via REST API, allowing language models to query changes, retrieve details, and manage reviews.

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.

MCP server for managing Ubuntu servers with AI integration, enabling system monitoring, Docker control, Gitea repository management, Ollama LLM interaction, workspace file operations, and Claude Code assistant via natural language.

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.

Serves the review notes left at lines of a diff in seam, a terminal diff viewer, to an agent with the code around them. The agent answers each note, and the answer shows in seam at that line.

Deterministic code-churn measurement and AI-agent detection from the CodeDelta engine: measure churn between two directories or git refs, scan for code that runs AI agents, and get AI-authorship pointers. Runs fully locally.

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.

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.

Enables deploying applications to Hostman, creating VPCs, databases, and floating IPs, and managing VCS providers through natural language prompts.

Enables developers to find personalized open-source contributions by analyzing GitHub profiles and matching them with relevant 'good first issues' and beginner-friendly repositories. Provides comprehensive contribution tooling including repository health scoring, setup difficulty assessment, impact estimation, and automated PR planning.

Integrates with Perforce P4 version control system via Model Context Protocol, providing safe read/write tools for changelists, files, shelves, workspaces, jobs, reviews, and server metadata.

An MCP server for Bitbucket Cloud that enables managing pull requests, branches, and repositories in natural language from any MCP-capable client.

Makes git commits on behalf of AI by appending "(aider)" to the committer's name, allowing tracking of AI contributions in your codebase.

MCP server for Bitbucket Cloud that enables AI agents to manage repositories, branches, pull requests, and deployments via typed tools.

Turns raw GitHub commit history into a categorized, human-readable changelog directly inside Claude or any MCP-compatible client.

Focused local MCP server for Azure DevOps Services, Azure Repos, and Azure Boards. It provides ticket-reading and pull-request-review workflows through 31 MCP tools backed by Azure DevOps REST API 7.1.