Metabase MCP Plus
Provides tools for querying databases, executing SQL, and managing dashboards, cards, and collections in Metabase.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Metabase MCP Pluslist all dashboards"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Metabase MCP Plus
An enhanced Model Context Protocol (MCP) server for Metabase, enabling AI assistants like Claude, Cursor, and other MCP clients to query databases, execute SQL, manage dashboards, cards, and collections — all through natural language.
Quick Start
Using uvx (No Installation Required)
uvx metabase-mcp-plusUsing pip
pip install metabase-mcp-plus
metabase-mcp-plusFrom Source
git clone https://github.com/schachan/metabase-mcp.git
cd metabase-mcp
uv sync
uv run python server.pyConfiguration
Set environment variables directly or create a .env file:
cp .env.example .envAPI Key Authentication (Recommended)
METABASE_URL=https://your-metabase-instance.com
METABASE_API_KEY=your-api-key-hereEmail/Password Authentication
METABASE_URL=https://your-metabase-instance.com
METABASE_USER_EMAIL=your-email@example.com
METABASE_PASSWORD=your-passwordOptional: Custom Host/Port (SSE/HTTP transports)
HOST=localhost # Default: 0.0.0.0
PORT=9000 # Default: 8000Available Tools (22)
Database Operations (6 tools)
Tool | Description |
| List all configured databases |
| Get details of a specific database |
| Get all tables in a database with metadata |
| Retrieve field/column information for a table |
| List all schemas in a database |
| Get tables within a specific schema |
Query Operations (1 tool)
Tool | Description |
| Execute native SQL queries with parameter support |
Card / Question Management (6 tools)
Tool | Description |
| List all saved questions/cards |
| Get details of a specific card |
| Run a saved question and return results |
| Create a new question with a SQL query |
| Update an existing card's name, query, or collection |
| Archive a card |
Dashboard Management (5 tools)
Tool | Description |
| List all dashboards |
| Get full dashboard details including cards |
| Create a new dashboard |
| Update a dashboard's name, description, or cards |
| Delete a dashboard |
Collection Management (3 tools)
Tool | Description |
| Browse all collections |
| List items within a collection |
| Create a new collection |
Search (1 tool)
Tool | Description |
| Search across cards, dashboards, collections, and tables |
Transport Methods
metabase-mcp-plus # STDIO (default, for IDE integration)
metabase-mcp-plus --sse # Server-Sent Events
metabase-mcp-plus --http # Streamable HTTPOr from source:
uv run python server.py # STDIO
uv run python server.py --sse # SSE
uv run python server.py --http # HTTPIDE Integration
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"metabase": {
"command": "uvx",
"args": ["metabase-mcp-plus"],
"env": {
"METABASE_URL": "https://your-metabase-instance.com",
"METABASE_API_KEY": "your-api-key-here"
}
}
}
}Cursor
Add to your MCP settings (.cursor/mcp.json):
{
"mcpServers": {
"metabase": {
"command": "uvx",
"args": ["metabase-mcp-plus"],
"env": {
"METABASE_URL": "https://your-metabase-instance.com",
"METABASE_API_KEY": "your-api-key-here"
}
}
}
}Project Structure
metabase-mcp/
├── server.py # Entry point — CLI arg parsing and transport selection
├── app.py # FastMCP app setup, env loading, client instantiation
├── client.py # MetabaseClient with auth, retry, and error handling
├── tools/
│ ├── __init__.py # Registers all tool modules
│ ├── databases.py # Database, table, schema, and field tools
│ ├── queries.py # SQL query execution
│ ├── cards.py # Card CRUD and execution
│ ├── dashboards.py # Dashboard CRUD
│ ├── collections.py # Collection browsing and creation
│ └── search.py # Cross-entity search
├── tests/ # Comprehensive test suite (95% coverage)
├── .github/workflows/
│ ├── ci.yml # Lint + test on push/PR
│ └── publish.yml # Release → PyPI + attach assets
├── RELEASING.md # How to cut a release (trusted publisher setup)
└── pyproject.tomlDevelopment
# Install with dev dependencies
uv sync --group dev
# Run linting and formatting
uv run ruff check .
uv run ruff format .
# Run tests with coverage
uv run pytest tests/ --cov=. --cov=tools --cov-report=term-missing -vArchitecture Highlights
Modular tools — each domain (databases, cards, dashboards, etc.) is a separate module
Automatic auth retry — expired session tokens are refreshed transparently on 401
Custom exceptions —
MetabaseAPIErrorandMetabaseAuthErrorfor typed error handlingError handler decorator —
@tool_error_handlereliminates boilerplate try/except across all 22 toolsMiddleware stack — built-in error handling and logging middleware via FastMCP
Releases & PyPI
Publishing to PyPI is automated when you publish a GitHub Release (workflow .github/workflows/publish.yml): lint → test → build → attach wheels to the release → upload to PyPI (trusted publisher / OIDC).
See RELEASING.md for one-time PyPI + GitHub environment setup and the exact tag/version rules (v1.2.3 must match version = "1.2.3" in pyproject.toml).
License
MIT License — see LICENSE for details.
Resources
Maintenance
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