Metabase MCP

A high-performance Model Context Protocol server for AI integration with Metabase analytics platforms. Features response optimization, robust error handling, and comprehensive data access tools.

<a href="https://glama.ai/mcp/servers/@jerichosequitin/Metabase"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@jerichosequitin/Metabase/badge" /> </a>

Key Features

• Response Optimization: Up to 90% token reduction for efficient AI context usage
• Robust Error Handling: Comprehensive error handling with structured, actionable responses
• Smart Caching: Multi-layer caching with configurable TTL for improved performance
• Unified Commands: list, retrieve, search, execute, and export tools
• Dual Authentication: API key or email/password authentication
• Large Data Export: Export up to 1M rows in CSV, JSON, and XLSX formats
• Read-Only Mode: Enabled by default to restrict execute to SELECT queries only

Installation

Option 1: Claude Desktop

Install directly from the Claude Desktop Directory, or:

1. Download metabase-mcp.mcpb from Releases
2. Open the .mcpb file with Claude Desktop to install
3. Configure your Metabase credentials in Claude Desktop's extension settings

Option 2: Manual Configuration

Add the following to your MCP client configuration:

{
  "mcpServers": {
    "metabase-mcp": {
      "command": "npx",
      "args": ["-y", "@jerichosequitin/metabase-mcp"],
      "env": {
        // Required
        "METABASE_URL": "https://your-metabase-instance.com",

        // Authentication (choose one)
        "METABASE_API_KEY": "your_api_key_here",       // API key (recommended)
        "METABASE_USER_EMAIL": "",                     // OR email/password
        "METABASE_PASSWORD": "",

        // Optional (defaults shown)
        "EXPORT_DIRECTORY": "~/Downloads/Metabase",    // Export location
        "METABASE_READ_ONLY_MODE": "true",             // Restrict to SELECT queries
        "LOG_LEVEL": "info",                           // debug, info, warn, error, fatal (debug enables pretty JSON)
        "CACHE_TTL_MS": "600000",                      // 10 minutes
        "REQUEST_TIMEOUT_MS": "600000"                 // 10 minutes
      }
    }
  }
}

Option 3: Docker

For containerized deployments without installing Node.js. Add to your MCP client configuration:

{
  "mcpServers": {
    "metabase-mcp": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm", "--init",
        "-e", "METABASE_URL=https://your-metabase-instance.com",
        "-e", "METABASE_API_KEY=your_api_key",
        // Optional: mount volume for exports
        // "-v", "~/Downloads/Metabase:/home/node/exports",
        "ghcr.io/jerichosequitin/metabase-mcp:latest"
      ]
    }
  }
}

Or build locally: docker build -t metabase-mcp . and use metabase-mcp as the image name.

Required flags: -i (interactive, for MCP stdio), --rm (cleanup), --init (signal handling)

Environment variables: Pass via -e flags. See Manual Configuration for all options. Docker defaults: LOG_LEVEL=info, METABASE_READ_ONLY_MODE=true, EXPORT_DIRECTORY=/home/node/exports.

Available Tools

list

Fetch all records for a resource type with optimized responses returning only essential fields.

• Models: cards, dashboards, tables, databases, collections
• Pagination: offset/limit parameters for large datasets

retrieve

Get detailed information for specific items by ID with concurrent processing.

• Models: card, dashboard, table, database, collection, field
• Batch Support: Up to 50 IDs per request
• Pagination: table_offset/table_limit for databases with many tables

search

Search across all Metabase items using the native search API.

• Filtering: By model type, database ID, or content
• Options: Search native SQL queries, include dashboard questions

execute

Execute SQL queries or run saved cards with configurable row limits (default: 100, max: 500).

• SQL Mode: Custom queries with database_id and query
• Card Mode: Saved cards with card_id and optional card_parameters for filtering
• Security: Respects Read-Only Mode (blocks INSERT, UPDATE, DELETE, DROP, etc.)

export

Export large datasets up to 1M rows to the configured export directory.

• Formats: CSV, JSON, XLSX
• SQL Mode: Export custom query results
• Card Mode: Export saved card results with optional filtering
• Note: When using hosted remote deployments (e.g., Glama), exported files are saved inside the container and are inaccessible. Use execute for query results directly, or run locally via npx/Docker for full export functionality.

clear_cache

Clear internal cache with granular control.

• Targets: Individual model caches, list caches, or bulk operations (all, all-lists, all-individual)

For Developers

Prerequisites

• Node.js 18.0.0 or higher
• Active Metabase instance

Setup

git clone https://github.com/jerichosequitin/metabase-mcp.git
cd metabase-mcp
npm install
npm run build

Then configure your MCP client to use the local build:

{
  "mcpServers": {
    "metabase-mcp": {
      "command": "node",
      "args": ["/path/to/metabase-mcp/build/src/index.js"],
      "env": { /* see Manual Configuration for options */ }
    }
  }
}

Debugging

Use the MCP Inspector for development:

npm run inspector

Testing

npm test                 # Run tests
npm run test:coverage    # Coverage report

Building MCPB Package

npm run mcpb:build

Creates metabase-mcp-{version}.mcpb ready for GitHub Releases.

Security

Read-Only Mode is enabled by default (METABASE_READ_ONLY_MODE=true), restricting the execute tool to SELECT queries only. Write operations (INSERT, UPDATE, DELETE, DROP, etc.) are blocked. Set to false to allow write operations.

Authentication: API key authentication is recommended over email/password for production use.

License

This project is licensed under the MIT License.