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linkedin_mcp

by devleads
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Python
Hybrid

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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

    A3.5/5.0

    Scored across 21 tools

    Disambiguation4/5

    Most tools map to distinct resources/actions, but send_message and send_inbox_message overlap in purpose, and like_and_comment_post partially overlaps with like_post and comment_post. Otherwise clear.

    Naming Consistency5/5

    All tools use a consistent verb_noun snake_case pattern (e.g., get_profile, send_message), with only 'login' deviating slightly. Naming is predictable and clear.

    Tool Count4/5

    At 21 tools, the server is on the heavier side but justifiable given the breadth of LinkedIn actions covered (auth, feed, search, messaging, posting). Each tool addresses a distinct workflow, so it avoids bloat.

    Completeness4/5

    Core LinkedIn operations are covered: auth/session management, feed reading, profile/company retrieval, people/posts search, post interaction, messaging, and connection requests. Minor gaps like connection request responses or post editing prevent a perfect score.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources