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@kula-ai/mcp-server

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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

    A3.5/5.0

    Scored across 84 tools

    Disambiguation5/5

    Each tool has a distinct, purpose-specific name and detailed description that clearly differentiates it from others. There is no overlap; even similar operations like 'list_candidates' vs 'search_candidates' are explained with different use cases.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (e.g., cancel_interview, create_candidate, get_job). No mixing of casing or irregular naming is observed.

    Tool Count1/5

    84 tools is extremely high for an MCP server, far exceeding the typical 3-15 range. While the domain is broad, this count is excessive and likely to overwhelm agents and reduce coherence.

    Completeness5/5

    The tool set covers the full lifecycle of recruiting: candidates, applications, interviews, jobs, requisitions, users, webhooks, and reference data (skills, locations, etc.). CRUD operations are present for core entities, with additional utilities like searching and webhook management. No obvious gaps are apparent.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources