Snowflake
Enables Large Language Models like Claude to directly query and interact with Snowflake databases via the Model Context Protocol.
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This tool acts as a Model Context Protocol (MCP) server, bridging the gap between powerful Large Language Models (LLMs) such as Claude, Cursor, and Continue, and your Snowflake data warehouse. It allows LLMs to directly execute SELECT queries, explore schemas, list tables, and analyze data within Snowflake. Designed for easy integration and secure operation with multiple authentication methods, it simplifies the process of bringing AI-driven data insights directly into your conversational or development workflows.
Características Principales
- Simple setup and integration with Claude Desktop, Cursor, and other MCP-compatible clients.
- Secure authentication options including environment variables and key-pair authentication.
- High-performance data interaction built with TypeScript and native Snowflake Node.js driver.
- Comprehensive database access for querying, schema exploration, table listing, and data analysis.
- Developer-friendly with robust TypeScript types and error handling.
- 1 GitHub stars
Casos de Uso
- Allowing LLMs to perform ad-hoc data querying and analysis on Snowflake databases.
- Enabling LLMs to explore Snowflake database schemas, tables, and structures for better context.
- Integrating Snowflake data access directly into AI-powered development environments and conversational assistants.
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