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schachan

Metabase MCP Plus

by schachan

Metabase MCP Plus

PyPI version Python 3.12+ License: MIT CI

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-plus

Using pip

pip install metabase-mcp-plus
metabase-mcp-plus

From Source

git clone https://github.com/schachan/metabase-mcp.git
cd metabase-mcp
uv sync
uv run python server.py

Configuration

Set environment variables directly or create a .env file:

cp .env.example .env
METABASE_URL=https://your-metabase-instance.com
METABASE_API_KEY=your-api-key-here

Email/Password Authentication

METABASE_URL=https://your-metabase-instance.com
METABASE_USER_EMAIL=your-email@example.com
METABASE_PASSWORD=your-password

Optional: Custom Host/Port (SSE/HTTP transports)

HOST=localhost  # Default: 0.0.0.0
PORT=9000       # Default: 8000

Available Tools (22)

Database Operations (6 tools)

Tool

Description

list_databases

List all configured databases

get_database

Get details of a specific database

list_tables

Get all tables in a database with metadata

get_table_fields

Retrieve field/column information for a table

list_database_schemas

List all schemas in a database

get_schema_tables

Get tables within a specific schema

Query Operations (1 tool)

Tool

Description

execute_query

Execute native SQL queries with parameter support

Card / Question Management (6 tools)

Tool

Description

list_cards

List all saved questions/cards

get_card

Get details of a specific card

execute_card

Run a saved question and return results

create_card

Create a new question with a SQL query

update_card

Update an existing card's name, query, or collection

archive_card

Archive a card

Dashboard Management (5 tools)

Tool

Description

list_dashboards

List all dashboards

get_dashboard

Get full dashboard details including cards

create_dashboard

Create a new dashboard

update_dashboard

Update a dashboard's name, description, or cards

delete_dashboard

Delete a dashboard

Collection Management (3 tools)

Tool

Description

list_collections

Browse all collections

get_collection_items

List items within a collection

create_collection

Create a new collection

Search (1 tool)

Tool

Description

search

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 HTTP

Or from source:

uv run python server.py          # STDIO
uv run python server.py --sse    # SSE
uv run python server.py --http   # HTTP

IDE 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.toml

Development

# 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 -v

Architecture 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 exceptionsMetabaseAPIError and MetabaseAuthError for typed error handling

  • Error handler decorator@tool_error_handler eliminates boilerplate try/except across all 22 tools

  • Middleware 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.

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