What is Snowflake MCP?

Snowflake MCP is a Database MCP server. Query and analyze Snowflake data warehouses with natural language.

Is Snowflake MCP free?

Yes — Snowflake MCP is listed as Free. Check the project's website for the latest terms.

How do I install Snowflake MCP?

You can install Snowflake MCP with the command shown on this page. It runs as an MCP server inside any MCP-compatible client such as Claude Desktop, Cursor, or Windsurf.

Which AI clients work with Snowflake MCP?

Snowflake MCP is compatible with Claude, Cursor and any other MCP-compliant client.

Snowflake MCP

Query and analyze Snowflake data warehouses with natural language

DatabaseFreeClaudeCursorMedium

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Last verified: August 9, 2026

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How to Install Snowflake MCP

$pip install snowflake-labs-mcp

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

About Snowflake MCP

The Snowflake MCP server (Cortex) connects AI assistants to Snowflake, enabling SQL execution, schema exploration, and Cortex AI functions over your data warehouse. Agents can answer analytical questions against governed enterprise data.

Snowflake MCP is a Database MCP server designed for developers, analysts, and data teams. It enables querying and managing databases from an AI assistant by exposing schema introspection and SQL execution as MCP tools. Key capabilities include schema introspection across tables and views, parameterised sql execution, read-only and read/write modes, and structured tool calls that work cleanly inside an LLM context. It integrates with Postgres, MySQL, SQLite, MongoDB, Redis, BigQuery, and Snowflake, and is best suited for developers, analysts, and data teams who need ad-hoc analytics without a bi tool.

Key Features

Database
Data Warehouse
Analytics
SQL
Cortex

Pricing

Free

Core MCP server
Community support
Works with any MCP client

Pro

—

Everything in Free
Higher usage limits
Priority support

Business

Custom

Everything in Pro
SLA & SSO
Dedicated support

Tier details are indicative — visit the Snowflake MCP website for current pricing.

Pros & Cons

Pros

Lets the assistant write and run real queries instead of guessing
Read-only mode is safe to point at production-shaped data
Skips most ORM and CSV-shuffling boilerplate

Cons

Misconfigured permissions can expose sensitive data
Long-running queries need explicit timeouts
Schema drift requires reconnecting or refreshing context

Best For

Ad-hoc analytics without a BI tool
Drafting migrations and reviewing query plans
Letting non-SQL teammates ask questions of a database
Bootstrapping internal admin workflows

Screenshots

Screenshots coming soon —

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Our Take on Snowflake MCP

Ideal for teams already on Snowflake who want conversational analytics. Setup requires warehouse credentials, but the payoff is agents querying governed data directly.