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Use natural language to discover Snowflake tables, inspect metadata, and run SQL queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "snowflake-analytics-mcp-server" yet — see the docs or source repo.
Use snowflake-analytics-mcp-server to list all available tables in the current Snowflake environment, grouped by database and schema.
Return the visible databases and tables, organized by hierarchy for downstream query planning.
Check the metadata of the orders table and return column names with their data types.
Output column names and types for the table so you can confirm which fields are available.
Generate and run SQL from natural language to calculate order count and sales amount by region for the last 7 days.
Return the query result as region-level aggregates that can be used in a daily report or dashboard.
When a data analyst receives an ad-hoc request, this tool can quickly discover tables so valid query targets are identified without manual documentation lookup.
Before writing SQL or debugging ETL logic, a developer can inspect metadata first to avoid failures caused by wrong column assumptions.
In environments with varying security requirements, operators can connect the MCP service to Snowflake using password, key-pair, or OAuth authentication.
It is an MCP server for Snowflake that supports table discovery, metadata inspection, and SQL execution through natural language.
It supports password, key-pair, and OAuth authentication. For configuration details and parameter names, see the source repository.
The provided information only describes capabilities and does not include full installation steps. See the source repository for runtime setup details.
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Provides schema metadata lookup for SQL Server and Snowflake AI coding agents.