Metabase MCP Server
**Author**: Hyeongjun Yu ([@hyeongjun-dev](https://github.com/hyeongjun-dev))
[](https://smithery.ai/server/@hyeongjun-dev/metabase-mcp-server)
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
Option 2: API Key Authentication (Recommended for Production)
You can set these environment variables directly or use a `.env` file with [dotenv](https://www.npmjs.com/package/dotenv).
Installation
Prerequisites
- Node.js 18.0.0 or higher
- An active Metabase instance with appropriate credentials
Development Setup
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`
Alternatively, you can use the Smithery hosted version via npx with JSON configuration:
API Key Authentication:
Username and Password Authentication:
Debugging
Since MCP servers communicate over stdio, use the [MCP Inspector](https://github.com/modelcontextprotocol/inspector) for debugging:
The Inspector will provide a browser-based interface for monitoring requests and responses.
Docker Support
A Docker image is available for containerized deployment:
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.