Metabase Python
БесплатноНе проверенA Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.
Описание
A Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.
README
Language: English | Portugues (BR)
metabase-mcp-python
A Python Model Context Protocol (MCP) server for Metabase, enabling AI assistants to query databases, manage dashboards, and interact with your Metabase instance.
Inspired by CognitionAI/metabase-mcp-server (TypeScript). See CREDITS.md for attribution.
Installation
With uv (recommended)
uv tool install metabase-mcp-python
With pip
pip install metabase-mcp-python
From source
git clone https://github.com/im-voracity/metabase-mcp-python.git
cd metabase-mcp-python
uv sync
Configuration
Set the following environment variables (or use a .env file):
| Variable | Required | Description |
|---|---|---|
METABASE_URL |
Yes | Your Metabase instance URL (e.g., http://localhost:3000) |
METABASE_API_KEY |
One of | Metabase API key for authentication |
METABASE_USERNAME |
One of | Username for session-based authentication |
METABASE_PASSWORD |
One of | Password for session-based authentication |
You must provide either METABASE_API_KEY or both METABASE_USERNAME and METABASE_PASSWORD.
Usage
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"metabase": {
"command": "uv",
"args": ["tool", "run", "metabase-mcp-python"],
"env": {
"METABASE_URL": "http://localhost:3000",
"METABASE_API_KEY": "your-api-key"
}
}
}
}
With session authentication:
{
"mcpServers": {
"metabase": {
"command": "uv",
"args": ["tool", "run", "metabase-mcp-python"],
"env": {
"METABASE_URL": "http://localhost:3000",
"METABASE_USERNAME": "[email protected]",
"METABASE_PASSWORD": "your-password"
}
}
}
}
Claude CLI
{
"mcpServers": {
"metabase": {
"command": "uv",
"args": ["tool", "run", "metabase-mcp-python", "--write"],
"env": {
"METABASE_URL": "http://localhost:3000",
"METABASE_API_KEY": "your-api-key"
}
}
}
}
Running from source
{
"mcpServers": {
"metabase": {
"command": "uv",
"args": ["run", "--directory", "/path/to/metabase-mcp-python", "metabase-mcp"],
"env": {
"METABASE_URL": "http://localhost:3000",
"METABASE_API_KEY": "your-api-key"
}
}
}
}
Tool Filtering Modes
The server supports three modes to control which tools are exposed to the AI assistant:
| Mode | Flag | Tools | Description |
|---|---|---|---|
| Essential | --essential (default) |
~19 | Core read operations for querying and exploring |
| Write | --write |
~59 | Essential + create, update, and delete operations |
| All | --all |
~87 | Every available tool including advanced operations |
Examples:
metabase-mcp # Essential mode (default)
metabase-mcp --write # Essential + write tools
metabase-mcp --all # All tools
The essential mode is the default to keep the tool list manageable and reduce the risk of unintended modifications. Use --write or --all when you need to create or modify Metabase resources.
Available Tools
Tools are organized into five categories:
- Database (13 tools) -- List, inspect, create, and manage database connections; execute SQL queries
- Table (17 tools) -- Browse tables, inspect schemas, manage field metadata, import/export CSV
- Card (21 tools) -- CRUD for saved questions, execute queries, manage public links, move cards
- Dashboard (27 tools) -- CRUD for dashboards, manage cards/layout, filters audit, public links
- Additional (9 tools) -- Collections, search, users, playground links
See docs/tools-reference.md for the complete tool listing.
Development
Setup
git clone https://github.com/im-voracity/metabase-mcp-python.git
cd metabase-mcp-python
uv sync --group dev
Testing
uv run pytest
uv run pytest -m "not integration" # Skip integration tests
Linting and type checking
uv run ruff check src tests
uv run ruff format --check src tests
uv run mypy src
Architecture
See docs/architecture.md for a detailed overview of the codebase structure, request flow, and authentication system.
License
Установка Metabase Python
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/im-voracity/metabase-mcp-pythonFAQ
Metabase Python MCP бесплатный?
Да, Metabase Python MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Metabase Python?
Нет, Metabase Python работает без API-ключей и переменных окружения.
Metabase Python — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Metabase Python в Claude Desktop, Claude Code или Cursor?
Открой Metabase Python на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Metabase Python with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
