About
Firebolt enables seamless integration between Large Language Models (LLMs) and the Firebolt data warehouse, allowing AI assistants and agents to directly query data, generate insights, and access comprehensive documentation. By implementing the Model Context Protocol, Firebolt provides LLMs with task-specific tools for database connection, SQL query execution, and documentation retrieval, enhancing their ability to interact with and understand data stored in Firebolt.
Key Features
- Connect AI assistants directly to Firebolt Data Warehouse
- Support for multiple query types and execution modes
- 1 GitHub stars
- Enable AI agents to autonomously query data and generate insights
- Seamless authentication with Firebolt service accounts
- Grant LLMs access to comprehensive Firebolt documentation
Use Cases
- Connecting Claude Desktop to Firebolt
- Setting up MCP in Cursor
- Integrating with Copilot Chat in VSCode
