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snowflake-mcp-server

by christianclaudio
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Python
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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

    C2.9/5.0

    Scored across 140 tools

    Disambiguation3/5

    Most tools are separated by resource prefixes (databases_, tables_, warehouses_, etc.) and clear descriptions, so many choices are unambiguous. However, several composite recipes overlap heavily with base tools (e.g. recipes_profile_table vs recipes_inspect_table_with_sample vs tables_describe_table/tables_sample_table), and a few list tools overlap, such as programmability_list_integrations vs programmability_list_notification_integrations.

    Naming Consistency4/5

    The dominant pattern is category_verb_object in snake_case, which is highly predictable across most of the surface. There are minor deviations and awkward names such as queries_query, cortex_complete, recipes_health_check, recipes_clone_table_recipe, and the typo compute_services_list_streamlits.

    Tool Count1/5

    At 140 tools, the surface is far beyond a practical, well-scoped set for agent selection. Even for a broad platform like Snowflake, this volume creates excessive choice overload and many tools could be consolidated into fewer parameterized operations.

    Completeness3/5

    Coverage is broad for querying, listing, describing, and some lifecycle operations across databases, schemas, tables, warehouses, tasks, streams, pipes, alerts, and governance objects. However, there are notable gaps: no grant/revoke operations, no alter-table/alter-object tools, no create/drop for dynamic tables or compute pools, no create for network policies, and no stage file upload/download.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

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