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Snowflake

Enables LLM agents to securely connect to and query Snowflake databases, acting as a bridge for seamless SQL execution.

About

This Model Context Protocol (MCP) server acts as a robust bridge between natural language processing (LLM) agents and Snowflake data warehouses. It facilitates secure and seamless SQL query execution from LLM agents by adhering to the MCP specification and handling structured input/output over STDIO. The server offers secure authentication methods, comprehensive SQL validation, and optimized performance for reliable data access, making it an essential component for integrating AI-driven applications with enterprise data.

Key Features

  • MCP Protocol Compliance
  • Secure Authentication (Password & SSO)
  • Comprehensive SQL Validation using Zod schemas
  • Performance Optimized (Async query execution, connection pooling, timeout management)
  • Robust Error Handling with detailed diagnostics
  • 0 GitHub stars

Use Cases

  • Integrate LLM agents directly with Snowflake for natural language data querying
  • Enable AI applications to execute SQL queries and retrieve structured data from Snowflake
  • Automate data retrieval for reporting and analytical tasks via conversational AI interfaces
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