Metabase
Integrates conversational AI with Metabase analytics, enabling large language models to directly interact with and manage data through the Metabase API.
소개
This Model Context Protocol (MCP) server acts as a crucial bridge, connecting AI assistants, particularly large language models (LLMs) with MCP capabilities, directly to the Metabase analytics platform. It empowers AI to navigate, access, and manage various Metabase resources such as dashboards, saved questions (cards), databases, tables, and collections. The server facilitates both data retrieval through intuitive `metabase://` URIs and execution of custom SQL queries or saved questions, all while supporting structured data access via JSON responses. It further extends AI's capabilities to manage Metabase assets, including creating, updating, and deleting dashboards and cards, making analytics data more accessible and actionable within conversational AI workflows.
주요 기능
- JSON-formatted responses for easy consumption by AI assistants
- Navigate Metabase resources via intuitive `metabase://` URIs
- Comprehensive logging for easy debugging and monitoring
- Robust error handling with clear error messages
- Support for both session-based and API key authentication
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사용 사례
- Allowing AI assistants to query and retrieve data from Metabase instances programmatically.
- Enabling LLMs to manage Metabase dashboards, cards, and collections, including creation and updates.
- Integrating Metabase analytics and data management into conversational AI workflows for enhanced data interaction.
