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Looker MCP Server

by Ultrathink-Solutions
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Python
Hybrid

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    TDQS

    A3.5/5.0

    Scored across 33 tools

    Disambiguation5/5

    Each tool targets a distinct action and resource (dashboard, look, query, explore, model, database, health, content, user). Even similar-sounding tools like query and run_query have clear differences: query requires a new definition, run_query uses an existing ID. No two tools are ambiguous.

    Naming Consistency4/5

    The vast majority follow a consistent verb_noun pattern (e.g., list_models, create_dashboard, run_look). Minor exceptions include the bare verb 'query' and the single-word 'whoami', but these are negligible and do not hinder readability.

    Tool Count2/5

    With 33 tools, the server exceeds the calibration threshold for 'too many' (>25). While the broad scope may justify a large surface, the number feels heavy and could overwhelm an agent, especially when many tools are for metadata exploration that might be consolidated.

    Completeness4/5

    The surface covers all major Looker workflows: CRUD for dashboards and looks, query execution, exploring models/explores, database metadata, health checks, and content validation. Minor gaps like missing update/delete for dashboard elements and lack of user management are acceptable given the server's focus.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources