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by cheukyin175 • Analytics & Monitoring
A FastMCP server that connects AI assistants to Metabase, allowing agents to run SQL, manage cards and collections, and explore metadata via the Model Context Protocol.
Run ad-hoc SQL queries against a Metabase database and return results to users.
Create, execute, and manage Metabase cards/questions and organize them into collections.
Discover database/table/field metadata and paginate field information for schema-aware query generation.
This project provides a high-performance MCP server for Metabase that enables AI assistants (Claude, Cursor, and other MCP clients) to interact with Metabase instances programmatically. It supports database and table discovery, field inspection, SQL execution with parameter support, card creation/execution, and collection management. The server includes authentication options (API key or email/password), multiple transport methods (STDIO, SSE, HTTP), and production-ready middleware and logging to make AI-driven analytics workflows reliable and auditable.
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