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linkedin-mcp-pro

by horizonbymuneeb
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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

    A3.6/5.0

    Scored across 58 tools

    Disambiguation5/5

    Each tool targets a specific action or resource, with clear boundaries. For example, auto_comment_by_keyword, auto_connect_by_criteria, and auto_like_by_keyword are distinct automation actions. Even similar tools like get_daily_stats and get_quota_usage have different scopes (daily vs raw). No overlapping purposes.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern using underscore_case, e.g., accept_invitation, create_post, search_people. Compound verbs like auto_comment_by_keyword are predictable and clear. No mixing of conventions.

    Tool Count4/5

    At 58 tools, the count is high but appropriate for a 'pro' server covering posting, messaging, automation, scheduling, templates, analytics, safety, and LLM management. Each tool serves a specific need, though the surface is extensive.

    Completeness5/5

    The tool set covers the full lifecycle of LinkedIn automation: connection management, messaging, content creation, scheduling, feed interaction, analytics, safety, and configuration. Minor gaps like profile editing are outside the server's stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources