"PlayStation 2" matching MCP servers:

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

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Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

An MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.

Provides AI coding agents with structured Git repository context including project state, code structure, activity, and risk analysis without modifying or uploading code.

An MCP server providing live GitHub repository and issue search tools, with production-grade features like config validation, structured logging, authentication, and support for both stdio and HTTP transports.

Connects Claude to read-only GitHub activity so it can draft LinkedIn posts in the user's own style, keeping a history of encrypted drafts and redacted site screenshots. The server itself never calls an AI, and handles authentication through OAuth 2.1 with PKCE.

Enables MCP clients to run deterministic governance reviews over pull requests, commits and repositories, returning findings tagged with rule identifiers, severity and file locations for credentials, documentation and evidence checks. Supports GitHub Copilot agents, Actions workflows and other MCP clients over stateless Streamable HTTP, with read-only access to the reviewed repository.

Enables AI assistants to interact with GitHub directly by fetching repository information, creating issues, and triggering repository_dispatch events through natural language.

Enables reviewing GitHub pull requests via ChatGPT, including listing PRs, viewing diffs, posting comments, approving, and requesting changes.

Zero-dependency stdio MCP server for token-aware prompt version diffs. Compare prompts or files and get machine-readable token delta reports with confidence labels.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

MCP server offering tools to add numbers and fetch GitHub repos, a resource for apartment rules, and a prompt to explain SQL queries.

Enables remote MCP connections to GitHub, allowing users to list repositories, inspect repository details, manage issues, and read file contents via natural language or MCP clients.

Enables reviewing diffs, staging/unstaging, discarding changes, committing, pulling, pushing, and stashing directly from the chat through a side panel with list/tree views, side-by-side compare, and image previews. It also generates Conventional Commits messages from the staged diff via host model sampling.

Enables AI assistants to discover, filter, and triage GitHub issues across repositories, with tools for fetching issue details, listing issues by state/labels, and finding related pull requests.

Enables s&box teams to coordinate coding agents and editors through shared tasks, file reservations, handoffs, builds, and change notifications, using GitHub as the source of truth.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

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

Enables AI assistants to query GitHub data directly through natural language, including user profiles, repositories, issues, and search.

Enables GitHub Copilot CLI to read review comments, reply to them, and resolve them after updating code for local Jujutsu change stacks.

Enables uploading PR screenshots to Cloudflare R2 via presigned URLs, allowing Claude to attach images to PR descriptions without binary data passing through MCP.

Connects AI assistants to GitLab, enabling natural language queries for merge requests, code reviews, pipeline tests, job logs, and commit discussions directly from chat.

Standalone MCP server for GitHub that enables repository management, branch operations, pull request handling, and commit retrieval via tools listed in the README.

RCP-1 is an enterprise-ready MCP server that connects AI assistants to SAP ABAP systems via the ADT REST API, with built-in security, access controls, and deployment options for BTP or on-premise.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

MCP server for Opengist, the self-hosted pastebin powered by Git

Generates multi-platform release announcements (X, Reddit, GitHub profile, awesome-list, MCP directory) and a publish-readiness checklist for any public GitHub repository.

Enables automated pull-request review workflows for Angular repositories by providing tools to generate, read, and save diffs, and to fetch review templates.

Enables AI assistants to manage Bitbucket Cloud repositories, pull requests, branches, commits, pipelines, issues, and webhooks through the Model Context Protocol.

Builds an Angular UI library and npm-links it into a consumer app, with support for Git workflows via mhdd24-cli.

Selects the minimum code context an LLM needs to understand a git diff: graph-based fragment selection under a token budget, deterministic output, 30+ tree-sitter languages.

Manages parallel Git worktrees, enabling work on multiple branches simultaneously without stashing or context switching.

A lightweight MCP server that acts as a secure proxy for AI assistants to run local Git operations and GitHub API macros simultaneously.

An MCP server that connects to your GitHub repositories, detects API changes, and provides context for Cursor to automatically generate test cases.

The Git MCP Server allows AI assistants to perform enhanced Git operations via the Model Context Protocol, supporting core Git functions, branch and tag management, GitHub integration, and more.

This MCP server lets an AI client manage GitHub repositories through the GitHub REST and GraphQL APIs, enabling repository CRUD, topic/label management, and file operations.

Enables LLMs to access and execute custom automation scripts from a dotfiles repository, including tools for JIRA, GitHub, Jenkins, and code review.

Enables AI agents to perform security audits on pull request diffs by detecting secrets, dangerous code patterns, and new dependencies, outputting structured JSON for generating PR review comments.