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mcp-server-peecai

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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

    A4.2/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing entities (brands, chats, models, etc.) vs. retrieving reports (brands, domains, URLs) vs. fetching content. No overlapping functionality, and descriptions clarify any potential confusion.

    Naming Consistency4/5

    The majority follow a consistent verb_noun pattern (list_*, get_*). The only deviation is 'shopping_queries' which uses noun_noun, but it still clearly indicates its purpose. Overall pattern is predictable.

    Tool Count5/5

    17 tools is appropriate for an AI analytics platform covering listing, reporting, and query retrieval. Each tool serves a specific need without redundancy, fitting well within the 3-15 range plus a few extras.

    Completeness5/5

    The tool set covers all essential operations for the domain: listing all tracked entities, retrieving detailed reports and content, and searching queries. There are no obvious missing features for a read-only analytics monitoring server.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources