schachan

Metabase MCP Plus

Community schachan
Updated

Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.

Metabase MCP Plus

PyPI versionPython 3.12+License: MITCI

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

API Key Authentication (Recommended)

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

Email/Password Authentication

METABASE_URL=https://your-metabase-instance.com
[email protected]
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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