iflow-mcp_sazboxai_metabase-mcp

# Metabase MCP Server A Model Control Protocol (MCP) server that enables AI assistants to interact with Metabase databases and actions. ![Metabase MCP Server] ## Overview The Metabase MCP Server provides a bridge between AI assistants and Metabase, allowing AI models to: - List and explore databases configured in Metabase - Retrieve detailed metadata about database schemas, tables, and fields - Visualize relationships between tables in a database - List and execute Metabase actions - Perform operations on Metabase data through a secure API This server implements the [Model Control Protocol (MCP)] specification, making it compatible with AI assistants that support MCP tools. ## Features - **Database Exploration**: List all databases and explore their schemas - **Metadata Retrieval**: Get detailed information about tables, fields, and relationships - **Relationship Visualization**: Generate visual representations of database relationships - **Action Management**: List, view details, and execute Metabase actions - **Secure API Key Handling**: Store API keys encrypted and prevent exposure - **Web Interface**: Test and debug functionality through a user-friendly web interface - **Docker Support**: Easy deployment with Docker and Docker Compose ## Prerequisites - Metabase instance (v0.46.0 or higher recommended) - Metabase API key with appropriate permissions - Docker (for containerized deployment) - Python 3.10+ (for local development) ## Installation ### Using Docker (Recommended) 1. Clone this repository: ```bash git clone https://github.com/yourusername/metabase-mcp.git cd metabase-mcp ``` 2. Build and run the Docker container: ```bash docker-compose up -d ``` 3. Access the configuration interface at http://localhost:5001 ### Manual Installation 1. Clone this repository: ```bash git clone https://github.com/yourusername/metabase-mcp.git cd metabase-mcp ``` 2. Install dependencies: ```bash pip install -r require…