"Construct 3" 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.

Enables autonomous AI agents and developers to interact with the GitHub REST API for repositories, pull requests, issues, actions, releases, tags, and user/org data through MCP tools. It uses token-efficient response summaries and optional 3-tier read-only safeguards to keep interactions safe and context-window friendly.

Open source contribution manager — tracks PRs across repos, discovers contributable issues, diagnoses CI failures, and drafts maintainer responses. 21 MCP tools, 5 resources, 3 prompts. Ships as CLI, MCP server, and Claude Code plugin.

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

Enables Claude and other MCP clients to read and write GitHub repositories, pull requests, issues, files, branches, commits, releases, and more using a personal access token without OAuth.

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.

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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.

Token-efficient GitLab MCP server that delivers 167 tools through 3 meta-tools with progressive disclosure, field projection, server-side file trimming, and keyset pagination for agent context budgets.

This MCP server enables developers and AI clients to investigate public GitHub pull requests by gathering objective pull request metadata, categorized change maps, heuristic risk signals, real CI check evidence, and traced issue context. It synthesizes these facts into an evidence-linked Review Dossier with a prioritized 3–5 step reviewer route, clearly separating verified facts from unverified hypotheses.

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.