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linkedin-mcp-server

by larscolombia
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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 21 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: people, companies, jobs, messaging, and posts are clearly separated. Even the three post-related tools are explicitly differentiated by source (own feed, company page, global search), and the conversation tools distinguish list/read/search. No two tools appear to do the same thing.

    Naming Consistency5/5

    All tool names use lowercase snake_case with a consistent verb-first pattern: get_*, search_*, connect_with_*, send_*, comment_on_*, and close_*. Longer noun phrases like get_sidebar_profiles and get_profile_post_urls still fit the verb_noun convention. There is no mixing of camelCase, acronyms, or inconsistent verb styles.

    Tool Count4/5

    21 tools is on the heavy side, but the server covers a genuinely broad domain: profiles, companies, jobs, messaging, feed, posts, and session management. Each tool maps to a plausible distinct workflow, so the count feels justified rather than bloated. It is slightly above the ideal 3-15 range but not excessive for a full LinkedIn client.

    Completeness4/5

    The tool set covers the main LinkedIn surfaces well: people search/profile/connection, company profile/posts/employees, job search/details/saved, messaging, feed, and post commenting. Minor gaps remain, such as no ability to list the user's own connections, create a post, or like/react to content, but these are workaround enough for core recruiting/sales/researcher workflows. The included write tools (connect, message, comment) are balanced with the read tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources