MCP Server

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.

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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:

• A Firebolt service account (Client ID and Secret)
• Either Docker or a supported OS for running Go binaries
• An LLM client that supports Model Context Protocol (MCP)

📘 Full setup instructions, environment variables, and integration guides are available on the Firebolt MCP GitHub repository.