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LinkedIn MCP Server

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    TDQS

    A4.1/5.0

    Scored across 31 tools

    Disambiguation5/5

    Each tool targets a distinct resource/action combination. The prepare/execute pairs are clearly separated by their non-mutating vs mutating roles, and search/get/list tools have well-defined boundaries. No two tools appear to perform the same operation.

    Naming Consistency5/5

    All tools follow a consistent 'linkedin.<domain>.<action>' or 'linkedin.<domain>.<subresource>.<action>' pattern with snake_case and standard verbs (get, search, list, prepare, execute). This makes the tool surface predictable and easy to navigate.

    Tool Count4/5

    31 tools is on the heavy side, but the breadth of LinkedIn's platform (posts, jobs, people, companies, invitations, connections, messaging, plus server metadata) justifies the count. Each tool has a clear purpose, and the prepare/execute pairs account for many of the tools without redundancy.

    Completeness4/5

    The set covers the core LinkedIn workflows: reading/searching across major resources, and performing key mutations (create post, comment, react, send/accept/ignore invitations, message). Notable gaps include post deletion/editing and job application, but these are workaround-able for most agent use cases.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues