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LinkedIn MCP Server

by Dev-Anandhan
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Python

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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

    A3.9/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct function: jobs, people, companies, session management, posting, and link diagnosis. No two tools have overlapping purposes; even session-related tools have clear boundaries (e.g., close_browser vs logout_and_cleanup).

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (e.g., get_job_details, search_people, check_session_status). Verbs are descriptive and nouns clearly indicate the resource or action.

    Tool Count5/5

    13 tools cover core LinkedIn operations without being excessive. Each tool serves a clear purpose, and the count feels well-scoped for a practical MCP server.

    Completeness3/5

    The set covers job search, profile retrieval, company info, posting, and session management, but lacks personalized features like viewing the user's own profile, managing connections, or retrieving applied jobs. These gaps limit full automation of LinkedIn workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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