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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Servers/Cloud Platforms/Metabase
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Metabase

Official Metabase MCP server for searching data, building queries on the semantic layer, and visualizing results through MCP clients.

49k starsUpdated Aug 28, 2026
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Overview

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](https://modelcontextprotocol.io/specification/2025-03-26/basic/transportsstreamable-http) and builds on Metabase's Agent API to expose tools for searching, navigating, querying, visualizing, and creating/updating content - all scoped to the connecting user's permissions. The legacy /api/mcp path still works as an alias for existing clients, but /api/metabase-mcp is the canonical URL to advertise.

Installation

claude mcp add metabase https://{your-metabase.example.com}/api/metabase-mcp --transport streamable-http

Configuration

Configuration example is not available yet.

Capabilities

  • Search for Metabase content

    Find tables, metrics, cards, dashboards, and collections using keywords or natural-language queries with `search`.

  • Navigate and inspect entities

    Read metadata for databases, schemas, tables, questions, dashboards, and metrics via `read_resource` with `metabase://` URIs.

  • Build and run queries

    Construct a query against a table or metric with `construct_query`, then execute it via `execute_query` to get results and column metadata.

  • Run raw SQL

    Execute a native SQL query against a database using `execute_sql` (requires native-query permission and the instance setting to be enabled).

  • Save and update questions

    Create or modify saved questions (cards) from constructed queries using `create_question` and `update_question`, including moving or archiving them.

  • Create and manage dashboards

    Build new dashboards with auto-positioned saved questions via `create_dashboard`, and update their metadata or archive them with `update_dashboard`.

Tags

  • storage
  • cloud-storage
  • cloud-infrastructure

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