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Metabase MCP

by hyeongjun-dev
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Metabase MCP Server

Author: Hyeongjun Yu (@hyeongjun-dev)

A Model Context Protocol server that integrates AI assistants with Metabase analytics platform.

Overview

This TypeScript-based MCP server provides seamless integration with the Metabase API, enabling AI assistants to directly interact with your analytics data. Designed for Claude and other MCP-compatible AI assistants, this server acts as a bridge between your analytics platform and conversational AI.

Key Features

  • Resource Access: Navigate Metabase resources via intuitive metabase:// URIs
  • Two Authentication Methods: Support for both session-based and API key authentication
  • Structured Data Access: JSON-formatted responses for easy consumption by AI assistants
  • Comprehensive Logging: Detailed logging for easy debugging and monitoring
  • Error Handling: Robust error handling with clear error messages

Available Tools

The server exposes the following tools for AI assistants:

  • list_dashboards: Retrieve all available dashboards in your Metabase instance
  • list_cards: Get all saved questions/cards in Metabase
  • list_databases: View all connected database sources
  • execute_card: Run saved questions and retrieve results with optional parameters
  • get_dashboard_cards: Extract all cards from a specific dashboard
  • execute_query: Execute custom SQL queries against any connected database

Configuration

The server supports two authentication methods:

Option 1: Username and Password Authentication

# Required METABASE_URL=https://your-metabase-instance.com METABASE_USER_EMAIL=your_email@example.com METABASE_PASSWORD=your_password # Optional LOG_LEVEL=info # Options: debug, info, warn, error, fatal
# Required METABASE_URL=https://your-metabase-instance.com METABASE_API_KEY=your_api_key # Optional LOG_LEVEL=info # Options: debug, info, warn, error, fatal

You can set these environment variables directly or use a .env file with dotenv.

Installation

Prerequisites

  • Node.js 18.0.0 or higher
  • An active Metabase instance with appropriate credentials

Development Setup

# Install dependencies npm install # Build the project npm run build # Start the server npm start # For development with auto-rebuild npm run watch

Claude Desktop Integration

To use with Claude Desktop, add this server configuration:

MacOS: Edit ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: Edit %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "metabase-mcp-server": { "command": "/absolute/path/to/metabase-mcp-server/build/index.js", "env": { "METABASE_URL": "https://your-metabase-instance.com", "METABASE_USER_EMAIL": "your_email@example.com", "METABASE_PASSWORD": "your_password" // Or alternatively, use API key authentication // "METABASE_API_KEY": "your_api_key" } } } }

Alternatively, you can use the Smithery hosted version via npx with JSON configuration:

API Key Authentication:
{ "mcpServers": { "metabase-mcp-server": { "command": "npx", "args": [ "-y", "@smithery/cli@latest", "run", "@hyeongjun-dev/metabase-mcp-server", "--config", "{\"metabaseUrl\":\"https://your-metabase-instance.com\",\"metabaseApiKey\":\"your_api_key\",\"metabasePassword\":\"\",\"metabaseUserEmail\":\"\"}" ] } } }
Username and Password Authentication:
{ "mcpServers": { "metabase-mcp-server": { "command": "npx", "args": [ "-y", "@smithery/cli@latest", "run", "@hyeongjun-dev/metabase-mcp-server", "--config", "{\"metabaseUrl\":\"https://your-metabase-instance.com\",\"metabaseApiKey\":\"\",\"metabasePassword\":\"your_password\",\"metabaseUserEmail\":\"your_email@example.com\"}" ] } } }

Debugging

Since MCP servers communicate over stdio, use the MCP Inspector for debugging:

npm run inspector

The Inspector will provide a browser-based interface for monitoring requests and responses.

Docker Support

A Docker image is available for containerized deployment:

# Build the Docker image docker build -t metabase-mcp-server . # Run the container with environment variables docker run -e METABASE_URL=https://your-metabase.com \ -e METABASE_API_KEY=your_api_key \ metabase-mcp-server

Security Considerations

  • We recommend using API key authentication for production environments
  • Keep your API keys and credentials secure
  • Consider using Docker secrets or environment variables instead of hardcoding credentials
  • Apply appropriate network security measures to restrict access to your Metabase instance

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

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.

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.

  1. Overview
    1. Key Features
  2. Available Tools
    1. Configuration
      1. Option 1: Username and Password Authentication
      2. Option 2: API Key Authentication (Recommended for Production)
    2. Installation
      1. Prerequisites
      2. Development Setup
      3. Claude Desktop Integration
    3. Debugging
      1. Docker Support
        1. Security Considerations
          1. Contributing

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