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LinkedIn MCP Server

by himanshu31shr
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    Related Servers

    • LinkedIn MCP Server

      VasquezRivero92
      A
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      B
      quality
      B
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      Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, certifications, and other professional data through the LinkedIn API.
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    • LinkedIn MCP Server

      quinnjr
      A
      license
      B
      quality
      C
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      Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, and certifications through the LinkedIn API.
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    • LinkedIn MCP Server

      ASISaga
      A
      license
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      quality
      D
      maintenance
      Enables AI assistants to interact with LinkedIn using the official API for profile access, company management, and job postings.
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    • linkedin-mcp

      vlpmedialtd
      A
      license
      A
      quality
      A
      maintenance
      Enables AI assistants to publish text, link, and image posts to a personal LinkedIn profile, as well as comment, react, and delete posts, through the official LinkedIn API.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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

    Resources