Integrates conversational AI with Metabase to enable direct interaction with analytics data.
Sponsored
This Model Context Protocol (MCP) server acts as a bridge, connecting large language models (LLMs) with your Metabase analytics platform. It allows AI assistants to directly interact with and manage your analytics data through the Metabase API, facilitating natural language queries, data retrieval, and even the creation or modification of dashboards and questions within Metabase. It offers robust features like resource navigation, flexible authentication, structured data responses, and detailed logging to empower AI-driven data exploration and management.
Key Features
01Support for both session-based and API key authentication
02Navigate Metabase resources via intuitive metabase:// URIs
030 GitHub stars
04JSON-formatted responses for easy consumption by AI assistants
05Robust error handling with clear error messages
06Detailed logging for easy debugging and monitoring
Use Cases
01Allowing AI assistants to retrieve specific dashboards, cards, or database information from Metabase.
02Enabling LLMs to execute custom SQL queries or run saved Metabase questions to fetch analytical results.
03Automating the creation, updating, or deletion of Metabase dashboards and cards using conversational AI.
