Firebolt MCP Server is a lightweight service that enables large language models (LLMs) like Claude, GitHub Copilot Chat, and Cursor to connect to Firebolt in a secure, context-aware way. It acts as a bridge between your data warehouse and AI assistants, allowing them to:
  • Understand Firebolt-specific SQL
  • Query your databases with context-aware prompts
  • Access technical documentation, metadata, and live data
It’s designed for developers, analysts, and teams who want to integrate Firebolt into AI-driven workflows or copilots with minimal setup.
Full setup instructions, environment variables, and integration guides are available on the Firebolt MCP GitHub repository.

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When to Use MCP Server

Use Firebolt MCP Server if you want to:
  • Enable LLMs to write and execute SQL against your Firebolt environment
  • Automate documentation lookups and metadata extraction
  • Create advanced AI agents that can explore, troubleshoot, and analyze Firebolt data
Typical use cases include:
  • Querying Firebolt using natural language
  • Custom copilots in VSCode or Cursor with deep Firebolt context
  • AI workflows that require real-time access to Firebolt SQL features

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Getting Started

MCP Server is available as both a binary and a Docker container. To run it, you’ll need: