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Linkd MCP Server

by automcp-app
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    TDQS

    A3.5/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have distinct purposes, but 'enrich_linkedin' and 'scrape_linkedin' could be confused as both retrieve detailed profile information. The descriptions clarify that 'scrape_linkedin' includes posts and comments, while 'enrich_linkedin' is more basic, but the overlap in core functionality might cause misselection.

    Naming Consistency4/5

    Tool names follow a consistent snake_case pattern with clear verb_noun structures, such as 'check_deep_research_status' and 'search_for_users'. Minor deviations exist, like 'enrich_linkedin' using a verb without an explicit object, but overall the naming is predictable and readable.

    Tool Count5/5

    With 7 tools, the count is well-scoped for a LinkedIn-focused server, covering key operations like profile retrieval, research, and searches. Each tool appears to earn its place without being excessive or insufficient for the domain.

    Completeness4/5

    The toolset provides good coverage for LinkedIn operations, including profile enrichment, contact retrieval, and searches for users and companies. Minor gaps exist, such as no explicit update or delete tools, but these are less critical in a data retrieval context, and agents can likely work around them.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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