Skip to main content
Glama
ChimbuezeDavid

Universal LinkedIn MCP Server

Related Servers

Alternatives to Universal LinkedIn MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      Fully featured MCP server that provides automation tools for LinkedIn, supporting browser-based scraping and API-based operations for content management, media uploads, and reactions.
      6
      3
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      MCP server for automating LinkedIn actions such as reading feeds, sending messages, creating posts, and managing connections. Uses browser automation with proxy and stealth support.
      21
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for AI-native LinkedIn prospecting. It enables lead research, audience building, conversation management, and controlled outreach actions such as messaging and publishing through an OAuth-protected remote endpoint.
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for LinkedIn automation that enables AI agents to perform LinkedIn actions (search, inbox, feed, jobs, etc.) safely with human-like evasion and two-phase commit preview.
      2 npm
      2
      MIT

    TDQS

    A3.7/5.0

    Scored across 29 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (e.g., add_education vs add_experience, get_my_profile vs view_profile). Some overlap exists between get_network_briefing and get_feed/get_pending_invitations, but descriptions clarify their roles, so misselection is unlikely.

    Naming Consistency5/5

    All tools use snake_case and follow a consistent verb_noun pattern (get, update, add, create, send, list, etc.). Even 'logout' fits the style as a single-word verb. No mixing of conventions or inconsistent styles.

    Tool Count3/5

    29 tools is above the typical 15-25 range, but the server aims to cover a broad LinkedIn surface (auth, profile, feed, messaging, connections, analytics). While heavy, it is not absurdly excessive, and each tool serves a distinct purpose. Still, it feels slightly over-scoped.

    Completeness3/5

    The server covers core LinkedIn workflows well: profile editing, posting, messaging, connections, and analytics. However, there are notable gaps: no update or delete operations for education/experience/skills (only add), no post deletion or editing, and no ability to remove connections. These missing lifecycle operations could cause dead ends for agents.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues