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    punkpeye

    punkpeye/awesome-mcp-servers

    #557 this week

    A collection of MCP servers.

    ai
    mcp
    MIT
    95.9K stars
    17.3K forks
    95.9K GitHub watchers
    Updated Oct 7, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #79 among AI repositories tracked this week, and #79 over the last 30 days; #557 of 1,950 repositories GStars tracks this week (top 29%).

    The project lists 445 contributors on GitHub.

    Peaked at #100 in the weekly ranking the week of Aug 30, its best in the past year.

    Use Cases & Benefits

    • Curates a comprehensive list of Model Context Protocol (MCP) servers enabling AI models to interact with diverse local and remote resources via standardized interfaces.
    • Provides a centralized, categorized directory of production-ready and experimental MCP servers, facilitating easy discovery and integration of AI context services.
    • Use for discovering MCP servers to extend AI capabilities with file access, database connections, and API integrations in AI development projects.
    • Use for exploring specialized MCP servers in domains like cloud platforms, browser automation, bioinformatics, and art to enhance AI assistant functionalities.
    • Use for finding MCP server implementations to build or integrate AI agents that require secure, standardized access to external tools and data sources.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    A curated list of awesome Model Context Protocol (MCP) servers.

    MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

    Excerpt from the punkpeye/awesome-mcp-servers README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 31: +243Sep 1: +215Sep 2: +157Sep 3: +144Sep 4: +143Sep 5: +167Sep 6: +154Sep 7: +68

    +4,910 stars over 80 days across 14 snapshot days; best day +243 on Aug 31.

    Forks

    17.3K+4.0K

    Open issues

    3.1K+228

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

    View category →
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