"Metabase" matching MCP servers:

A high-performance Model Context Protocol server for AI integration with Metabase analytics platforms. Features response optimization, robust error handling, and comprehensive data access tools.

Metabase includes a built-in Model Context Protocol (MCP) server that lets AI clients connect directly to a Metabase instance. It uses the Streamable HTTP transport and builds on Metabase's Agent API to expose tools for searching, exploring, querying, and visualizing data — all scoped to the connecting user's permissions.

Query and manage Metabase dashboards, cards, and data via Claude

Enables AI assistants to interact with Metabase for querying databases, executing SQL, managing dashboards, and automating analytics workflows.

Enables AI assistants to interact with Metabase for database operations, SQL queries, dashboard management, and analytics automation.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

An MCP server for Metabase that enables executing SQL queries and saved cards, with options to export results as CSV or XLSX, while enforcing read-only mode and database whitelisting for security.

Connect AI assistants to your Metabase analytics platform. Access dashboards, execute queries, and retrieve data seamlessly through conversational interfaces. Enhance your analytics experience with structured data access and robust error handling.

Connects AI assistants to Metabase for database queries, SQL execution, dashboard management, and analytics workflows via natural language.

Enables AI assistants to interact with Metabase by providing access to dashboards, questions, and databases through the Metabase API. It allows users to list resources, execute existing cards, and run custom SQL queries to retrieve data through natural language.

A Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.

Enables LLMs to interact with Metabase instances through 33 tools for querying cards, dashboards, databases, collections, and executing SQL queries against your Metabase installation.

A Model Context Protocol server for Metabase that enables AI assistants to interact with Metabase instances, providing 418 tools across 58 categories for database, card, dashboard, collection, user, permissions, and more management.

Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.

MCP server for Metabase that gives AI agents full access to query, explore, and manage content in your Metabase instance.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Enables AI agents to read-onlyly access Metabase instances, query databases using MBQL or SQL, explore schemas, run saved questions, and export data.

An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.

A MCP server for Metabase that gives AI assistants direct access to dashboards, cards, and query execution.

Enables AI agents to search and read Metabase dashboards and cards, explore database schema, and run read-only query previews through the Model Context Protocol.