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=[email protected]
METABASE_PASSWORD=your_password

# Optional
LOG_LEVEL=info # Options: debug, info, warn, error, fatal

Option 2: API Key Authentication (Recommended for Production)

# 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": "[email protected]",
        "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\":\"[email protected]\"}"
      ]
    }
  }
}

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.

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