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by StarRocks • Data & Databases
A bridge that lets AI assistants run SQL, explore schemas, and visualize data from StarRocks databases without client-side setup.
Execute SELECT or DDL/DML statements against StarRocks and receive formatted results or confirmations.
Inspect database/schema metadata, list databases/tables, and retrieve table schemas or internal proc information.
Produce data visualizations from query results (Plotly charts) for use in UIs or reports.
StarRocks MCP Server exposes tools and resources to execute read/write SQL, analyze queries, fetch table and database overviews, and generate Plotly charts from query results. It supports direct resource URIs (starrocks://, proc://), in-memory caching for overviews, multiple transport modes (including streamable HTTP), and flexible configuration via environment variables or a connection URL. The server is designed to simplify integration of AI agents with StarRocks clusters by providing ready-made APIs for common database workflows and lightweight deployment options.
Execute a SELECT query or commands that return a ResultSet
Execute a DDL/DML or other StarRocks command that do not have a ResultSet
Analyze a query and get analyze result using query profile
Run a query to get it's query dump and profile, output very large, need special tools to do further processing
using sql `query` to extract data from database, then using python `plotly_expr` to generate a chart for UI to display
List all databases in StarRocks
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