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patrickfreyer

snowflake-mcp

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    • A
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    • A
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    • A
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      Enables AI assistants to securely connect to Snowflake data warehouses and execute SQL queries through natural language interactions. Supports multiple authentication methods and provides formatted query results with built-in security controls.
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    • A
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    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: browsing databases, schemas, tables, describing table schema, and executing SELECT queries. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., list_databases, describe_table, read_query), making them predictable and easy for an agent to interpret.

    Tool Count5/5

    With 5 tools, the server is well-scoped for exploring a Snowflake database and executing queries. The count is neither too few nor excessive.

    Completeness4/5

    The tools cover the core workflow of discovering database objects and querying them. Missing operations like listing views or running DDL are minor gaps, but the set feels complete for typical read-only exploration.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues