Model Control Protocol (MCP) server for Apache Superset integration with AI assistants
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# Superset MCP Server A Model Control Protocol (MCP) server for Apache Superset integration with AI assistants. This server enables AI assistants to interact with and control a Superset instance programmatically. ## Features - **Automatic Authentication**: Handles Superset authentication with token management and auto-refresh - **Comprehensive API Coverage**: Supports dashboards, charts, databases, datasets, and SQL Lab operations - **Error Handling**: Robust error handling with automatic retry mechanisms - **Token Persistence**: Stores and reuses authentication tokens across sessions - **Type Safety**: Full type annotations with Pydantic models for request/response validation ## Project Structure ``` superset-mcp-py/ ├── main.py # Main MCP server entry point with FastMCP ├── utils.py # Authentication, token management, and API utilities ├── pyproject.toml # Project configuration and dependencies ├── superset.spec.json # Superset OpenAPI specification ├── rebuild.ps1 # PowerShell build script ├── uv.lock # UV package manager lock file └── tools/ # MCP tools organized by category ├── __init__.py # Tools package initialization ├── chart_tools.py # Chart/slice operations ├── dashboard_tools.py # Dashboard management ├── database_tools.py # Database connection tools ├── dataset_tools.py # Dataset/table operations └── sqllab_tools.py # SQL Lab query execution ``` ## Available Tools ### Dashboard Tools - **superset_dashboard_list**: Get a list of dashboards with filtering, sorting, and pagination support - **superset_dashboard_get_by_id**: Get detailed information for a specific dashboard including metadata and position - **superset_dashboard_update**: Update existing dashboard properties, metadata, and layout ### Chart Tools - **superset_chart_list**: Get a list of charts/slices with comprehensive filtering a…
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