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tushar3006

Snowflake MCP Server

by tushar3006

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    • A
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      D
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      Enables AI assistants to perform comprehensive Snowflake database operations including DDL, DML, and warehouse management. It allows users to query data, manage database objects, and configure permissions using natural language commands.
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    • F
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    • A
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      quality
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      Enables AI agents to execute SQL queries and explore Snowflake databases using natural language, with schema discovery, table inspection, and readonly mode.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables Claude to interact with Snowflake data warehouses through natural language for executing SQL queries, exploring schemas, and monitoring data freshness. It streamlines data analysis workflows by bringing Snowflake capabilities directly into the AI conversation.
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    • A
      license
      Not graded
      quality
      C
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      Enables read-only interaction with Snowflake databases through SQL queries, schema exploration, and data insight tracking. Provides tools to query data, list databases/schemas/tables, describe table structures, and maintain a memo of discovered insights.
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    TDQS

    B3.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: append_insight handles data insights, describe_table provides schema details, fetch_violation_videos retrieves video media, list_databases/schemas/tables enumerate database objects, and read_query executes queries. The tools are well-separated by function and target resources.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern (e.g., append_insight, describe_table, fetch_violation_videos, list_databases, list_schemas, list_tables, read_query). The naming is uniform, predictable, and uses snake_case throughout without any deviations.

    Tool Count5/5

    With 7 tools, the server is well-scoped for Snowflake database operations. The count is appropriate, covering core functions like listing databases/schemas/tables, describing tables, executing queries, and adding insights, without being too sparse or bloated.

    Completeness4/5

    The toolset provides good coverage for Snowflake database interactions, including listing, describing, and querying. However, there are minor gaps such as lacking tools for creating or modifying database objects (e.g., create_table, update_table) or handling transactions, which agents might need to work around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues