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LinkedIn MCP Server

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Alternatives to LinkedIn MCP Server

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    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, certifications, and other professional data through the LinkedIn API.
      19
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, and certifications through the LinkedIn API.
      18
      176 npm
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with LinkedIn using the official API for profile access, company management, and job postings.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to audit professional profiles, check policy compliance, preview posts, and publish explicitly confirmed text posts through LinkedIn's official API.
      MIT

    TDQS

    B3.2/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: post creation is split by content type, reactions, comments, profile info, and organization analytics are separate. No overlapping functionality.

    Naming Consistency4/5

    Most tools follow verb_noun pattern, but there is minor inconsistency: 'add_reaction' vs 'create_comment', and deletion tools are not parallel (delete_post vs delete_org_post). Overall, the pattern is predictable.

    Tool Count5/5

    20 tools cover a broad range of LinkedIn operations without feeling excessive. Each tool has a specific role, and the count is appropriate for the server's scope.

    Completeness2/5

    Significant gaps exist: no tools to retrieve the user's own posts, list a feed, or view reactions. CRUD is incomplete for posts (no read) and reactions (no get). Agents would struggle to perform common workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues