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BigQuery Analysis MCP Server

by gotalab
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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

    B3.4/5.0

    Scored across 2 tools

    Disambiguation4/5

    The two tools have mostly distinct roles: one validates only, the other executes with built-in validation. There is mild overlap since run_query_with_validation internally performs a dry run, so an agent might briefly hesitate, but the outcome differences (no execution vs. execution) make the choice clear.

    Naming Consistency4/5

    Both names use snake_case and start with an action verb, which is consistent. However, 'dry_run_query' is a compact noun-style phrase while 'run_query_with_validation' is a longer descriptive phrase, a minor stylistic deviation.

    Tool Count3/5

    Two tools is thin for a server framed as 'BigQuery Analysis' — analysis usually implies exploration beyond validate/execute. The pair is coherent but leaves the surface feeling minimal.

    Completeness2/5

    There is no way to discover datasets, tables, or schemas, and no tool to run queries that legitimately contain DML or exceed 1 TB. Agents doing real analysis will hit dead ends when they need metadata or unrestricted execution.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources