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.