Metabase MCP Server
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
metabase-server MCP Server
A Model Context Protocol server for Metabase integration.
This is a TypeScript-based MCP server that implements integration with Metabase API. It allows AI assistants to interact with Metabase, providing access to:
- Dashboards, questions/cards, and databases as resources
- Tools for listing and executing Metabase queries
- Ability to view and interact with Metabase data
Features
Resources
- List and access Metabase resources via
metabase://
URIs - Access dashboards, cards/questions, and databases
- JSON content type for structured data access
Tools
list_dashboards
- List all dashboards in Metabaselist_cards
- List all questions/cards in Metabaselist_databases
- List all databases in Metabaseexecute_card
- Execute a Metabase question/card and get resultsget_dashboard_cards
- Get all cards in a dashboardexecute_query
- Execute a SQL query against a Metabase database
Configuration
Before running the server, you need to set the following environment variables:
You can set these environment variables in your shell profile or use a .env
file with a package like dotenv
.
Development
Install dependencies:
Build the server:
For development with auto-rebuild:
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Note: You can also set these environment variables in your system instead of in the config file if you prefer.
Installing via Smithery
To install metabase-server for Claude Desktop automatically via Smithery:
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
The Inspector will provide a URL to access debugging tools in your browser.
This server cannot be installed
Enables AI assistants to interact with Metabase databases and dashboards, allowing users to list and execute queries, access data visualizations, and interact with database resources through natural language.