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Snowflake-Labs/mcp

by Various

MCP Server for Snowflake including Cortex AI, object management, SQL orchestration, semantic view consumption, and more

S

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

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