The StarRocks MCP Server acts as a bridge between AI assistants and StarRocks databases. It enables direct SQL execution, database exploration, data visualization via charts, and retrieving detailed schema and data overviews without requiring complex client-side setup. The server supports read_query and write_query operations for executing SELECTs, DDL, and DML commands, and provides tools like table_overview and db_overview to summarize table schemas, row counts, and sample data. It also exposes resources such as starrocks:///databases, starrocks:///{db}/{table}/schema, and proc:// paths to fetch internal metrics, metadata, and system information. For visualization, a query can be run and plotted with Plotly using query_and_plotly_chart. Results can be cached in memory to improve performance, with an option to bypass the cache. Configuration is flexible via environment variables or command-line arguments, including transport modes (stdio, streamable-http) and host/port settings. The server emphasizes Streamable HTTP for new integrations and notes that SSE mode is deprecated.