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Sabari2005

LinkedIn MCP Server

by Sabari2005

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Alternatives to LinkedIn MCP Server

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    • F
      license
      C
      quality
      C
      maintenance
      Enables an AI agent to drive a real LinkedIn account through a persistent browser session, covering full profile editing, people and content interactions (searching, connecting, messaging, posting, reacting), and job search with step-by-step Easy Apply submissions. It reads data through LinkedIn's internal Voyager API while writing through the actual UI, with a saved answer bank so repeated application questions are resolved automatically.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables natural language interaction with LinkedIn, including profile retrieval, job searching, messaging, and post engagement.
      3
      Apache 2.0

    TDQS

    A3.6/5.0

    Scored across 101 tools

    Disambiguation4/5

    Almost every tool has a clearly distinct purpose, and the descriptions are exemplary at resolving overlaps (e.g., linkedin_get_applied_jobs vs linkedin_get_application_history, linkedin_export_connections vs linkedin_request_data_export). A few nearby pairs like linkedin_send_message vs linkedin_reply_to_conversation retain slight overlap, but misselection is unlikely given the detailed guidance.

    Naming Consistency4/5

    All 101 tools follow a consistent linkedin_verb_noun snake_case pattern with a uniform prefix. Minor deviations keep it from a perfect score: profile sections use add_* while posts use create_post; edit_* and update_* are both used for modifications; and delete_*, remove_*, and withdraw_* all express removal.

    Tool Count1/5

    At 101 tools, this is far beyond the 50+ threshold the rubric flags as an extreme mismatch. While LinkedIn's surface area is genuinely large and each tool has a defined role, the count is overwhelming for an agent to navigate effectively.

    Completeness4/5

    The server covers LinkedIn's core workflows end to end: profile CRUD, job search/apply/withdraw, messaging, connection management, posts, notifications, search, settings, and data export. Minor gaps like endorsements, recommendations, and Featured-section management exist, but no essential flow is left as a dead end.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues