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by hyeongjun-dev • Analytics & Monitoring
An MCP server that connects AI assistants to Metabase, allowing assistants to list resources, run saved questions, and execute SQL queries against Metabase data.
List and browse Metabase dashboards and cards to fetch relevant analytics content for conversational responses.
Run saved Metabase questions (cards) or execute custom SQL queries against connected databases and return JSON-formatted results.
Integrate Metabase into MCP-compatible assistants (e.g., Claude) with support for API key or session authentication and containerized deployment.
A TypeScript-based Model Context Protocol (MCP) server that integrates with the Metabase API to let conversational agents access dashboards, cards (saved questions), databases, and run queries. It supports both session (username/password) and API key authentication, returns structured JSON results suitable for assistants, and includes detailed logging and error handling. The project includes Docker support and integration instructions for Claude Desktop for easy deployment and use.
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