Snowflake-managed MCP server for secure AI queries over your data
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What is Snowflake MCP?
The Snowflake-managed MCP server lets AI agents securely query Snowflake data without deploying separate infrastructure, because the MCP layer runs inside Snowflake. Admins create an MCP server object in SQL that declares exactly which tools to expose, and agents authenticate with a programmatic access token. It connects agents to Snowflake's Cortex AI capabilities over structured and unstructured data.
Pros & Cons
Pros
- Fully managed, runs inside Snowflake with no extra infrastructure
- Admin explicitly declares which tools are exposed, giving tight governance
- Combines semantic-model querying and document search in one server
Cons
- Limited to 50 tools per server and tool responses capped at 250 KB
- Cortex usage consumes Snowflake credits (billable)
- Requires configuring semantic views and access tokens up front
Preview
Key Features
Search unstructured data with Cortex Search for RAG-style retrievalQuery structured data in natural language via Cortex AnalystExecute SQL directly, read-only or read-write as configuredInvoke other Snowflake Cortex Agents as toolsCall custom tools such as user-defined functions and stored procedures
Pricing Plans
Pricing checked Jul 31, 2026
Open Source
Free
- Full source code access
- Community support
- Self-hosted
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