Snowflake MCP Server
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Alternatives to Snowflake MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables natural language querying and management of Snowflake databases, including SQL execution, schema exploration, and warehouse monitoring.MIT
- AlicenseNot gradedqualityDmaintenanceEnables 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.MIT
- FlicenseAqualityDmaintenanceEnables LLMs to directly query and interact with Snowflake databases, supporting SELECT queries, schema exploration, and table operations.52-
- AlicenseAqualityDmaintenanceEnables AI agents to execute SQL queries and explore Snowflake databases using natural language, with schema discovery, table inspection, and readonly mode.11523 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables 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.MIT
- AlicenseNot gradedqualityCmaintenanceEnables 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.GPL 3.0
TDQS
Scored across 7 tools
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.
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.
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.
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.