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linkedin-agent-mcp

by IzikStar
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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

    A4.1/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action, with clear READ/PREPARE/EXECUTE labels and local-vs-LinkedIn boundaries. Related pairs like get_action/list_actions and get_application/preview_application are differentiated by singular-vs-list and structured-state-vs-rendered-preview purposes.

    Naming Consistency5/5

    All tools use the same linkedin_ prefix and snake_case convention, mostly following a verb_noun pattern. Minor variations like linkedin_auth_status remain readable and do not break the overall consistency.

    Tool Count3/5

    At 20 tools, the set is on the heavy side and falls into the borderline 16-25 range. While many tools earn their place through the prepare/execute safety model, some pairs could potentially be consolidated.

    Completeness3/5

    Core job search, tracking, job detail, and application preparation are covered. However, execute tools are missing for application submission, message sending, connection request sending, and profile update application, creating notable dead ends for end-to-end workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources