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103,732 servers. Updated
20 Best GitHub MCP Servers: compared and ranked, October 2026Ranked from 1,839 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI agents to analyze employee GitHub activity including PRs, code reviews, comments, and contributions across repositories with time-range filtering for performance assessment and impact analysis.
    6
    295 npm
    ISC
  • A
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    Search, install, and manage AI agent skills (SKILL.md files) from GitHub repositories. Features workspace analysis for personalized recommendations and supports 140+ pre-indexed skills.
    9
    12 npm
    12
    Creative Commons Attribution Non Commercial Share Alike 4.0 International
  • A
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    Enables agents to deploy, run, expose, inspect, and manage isolated cloud environments, including databases, caches, browsers, GitHub-hosted apps, and arbitrary OCI images, via MCP tools.
    MIT
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    A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.
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    Enables AI coding agents and human managers to coordinate work on GitHub Projects v2 through 20 tools and 169 actions for autonomous task checkout, heartbeats, reviews, token budgets, PRD generation, sprint planning, issue triage, and PRD-to-issues pipelines, backed by GitHub-native storage and MCP resources/prompts.
    64 npm
    MIT
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    A universal AI API orchestrator that connects to 17+ services (Stripe, Slack, GitHub, etc.) and enables natural language task execution, multi-step automation, and complex orchestration across them without coding.
    39 npm
    1
    MIT
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    Turns GitHub Projects v2 into an agentic project management layer where AI coding agents self-assign tasks, coordinate via heartbeats, submit work for review, and stay within token budgets. It also provides AI-powered PRD generation, sprint planning, issue triage, and a PRD-to-issues pipeline, all backed by GitHub-native storage with no external infrastructure.
    64 npm
    MIT
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    Enables enterprise AI agents to discover and invoke MCP tools, resources, and prompts across GitHub, ITSM, and business systems through a policy-controlled gateway with human approval and auditability.
    MIT
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    A
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    Turns GitHub Projects v2 into an agentic project-management layer where AI coding agents can register, claim tasks, coordinate, submit work for review, and enforce token budgets, while humans can generate PRDs, plan sprints, triage issues, and create roadmaps using GitHub-native storage.
    64 npm
    MIT
  • A
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    Turns GitHub Projects v2 into an agentic project-management substrate where AI coding agents register, atomically claim tasks, send heartbeats, review each other's work, and stay within token budgets, while also offering AI-powered PRD generation, task breakdown, sprint planning, and triage. Everything is stored in GitHub issues, project fields, and comments, so no external database or infrastructure is required.
    64 npm
    MIT
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    Turns GitHub Projects v2 into an agentic task substrate where AI coding agents register, atomically claim and complete tasks, exchange heartbeats, review one another's work products, and operate within token budgets. Humans get AI-powered PRD generation, task breakdown, sprint planning, roadmap creation, and issue triage, with all state stored natively in GitHub issues, projects, and comments so no external infrastructure is needed.
    64 npm
    MIT
  • A
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    An MCP server that lets AI agents browse and fetch skills from remote registries — GitHub repositories or direct HTTP URLs — without installing them locally first.
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Turns GitHub Projects v2 into an agentic project management layer where AI coding agents register, atomically claim and track tasks, heartbeat, review each other's work, and operate within token budgets, all backed by GitHub-native storage with no external infrastructure. It also gives humans AI-powered PRD generation, PRD-to-issues pipelines, sprint planning, triage, roadmap creation, and requirements traceability across 20 compound tools exposing 169 actions, plus MCP resources, prompts, and sampling support.
    64 npm
    MIT