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How to Install Snowflake MCP in Cursor

Official Snowflake integration — query data, manage warehouses, and inspect pipelines through AI

What Snowflake MCP does

The official Snowflake MCP server gives AI agents access to your data warehouse. It can query tables, inspect schemas, manage warehouses, and surface analytics insights. Features: - Execute SQL queries and return structured results - Inspect schemas, tables, and views - Manage warehouses and compute usage - Access query history and performance metrics - Create and manage tasks and streams - Query external tables and shares - Integrate with BI workflows Snowflake MCP is designed for analytics teams who want AI to work directly with enterprise data.

snowflake
data-warehouse
analytics
sql
warehouse

Installation steps

  1. 1Copy the config below
  2. 2Open or create .cursor/mcp.json
  3. 3Paste inside "mcpServers": {}
  4. 4Restart Cursor or reload the window

Configuration

File location: .cursor/mcp.json (project) or ~/.cursor/mcp.json (global)

.cursor/mcp.jsonjson
{
  "snowflakeMcp": {
    "command": "npx",
    "args": [
      "-y",
      "@snowflake/mcp"
    ],
    "env": {
      "SNOWFLAKE_ACCOUNT": "xyz12345",
      "SNOWFLAKE_USER": "your_user",
      "SNOWFLAKE_ROLE": "ANALYST",
      "SNOWFLAKE_WAREHOUSE": "COMPUTE_WH"
    }
  }
}
Full server details GitHub Open Config Editor

Install in other clients

For maintainers

If you maintain Snowflake MCP, add this badge to your README to show it's verified on CuratedMCP:

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