Snowflake-Labs/mcp
by Various
MCP Server for Snowflake including Cortex AI, object management, SQL orchestration, semantic view consumption, and more
MCP
Snowflake-Labs/mcp
Added 1 June 2026
Overview
An open-source MCP (Model Context Protocol) server that connects Snowflake with AI agents. It implements the MCP standard to expose Cortex AI, object management, SQL orchestration, and semantic view consumption as tools. Developers can build agents that query Snowflake using natural language or manage data assets programmatically.
Best for
Best for
Developers building AI agents that need direct, structured access to Snowflake data and management capabilities
Use cases
- Query Snowflake tables via Cortex AI natural language interface
- Automate Snowflake object management like creating databases or warehouses
- Orchestrate SQL pipelines by chaining MCP tool calls
How to use
Install
npx @modelcontextprotocol/inspector uvx snowflake-labs-mcp --service-config-file <path_to_file>/tools_config.yaml --connection-name "default"Tools exposed
streamable-http
Tested with
Claude Desktop, Cursor, ChatGPT
Notes
An open-source MCP (Model Context Protocol) server that connects Snowflake with AI agents. It implements the MCP standard to expose Cortex AI, object management, SQL orchestration, and semantic view consumption as tools. Developers can build agents that query Snowflake using natural language or manage data assets programmatically.
289 stars on GitHub. Last updated 2026-05-15. Licensed Apache-2.0.
Use cases
- Query Snowflake tables via Cortex AI natural language interface
- Automate Snowflake object management like creating databases or warehouses
- Orchestrate SQL pipelines by chaining MCP tool calls
Pros
- Direct integration with Snowflake’s Cortex AI for natural language queries
- Covers both object management and SQL execution in one server
- Leverages MCP standard for interoperability with various client frameworks
Cons
- Tightly coupled to Snowflake ecosystem with no generic database support
- Project is relatively new with limited community and documentation
- Cortex AI usage may incur additional Snowflake costs
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Direct integration with Snowflake's Cortex AI for natural language queries
- Covers both object management and SQL execution in one server
- Leverages MCP standard for interoperability with various client frameworks
Cons
- Tightly coupled to Snowflake ecosystem with no generic database support
- Project is relatively new with limited community and documentation
- Cortex AI usage may incur additional Snowflake costs
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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