mcp-server-starrocks

[](https://mseep.ai/app/starrocks-mcp-server-starrocks)

The StarRocks MCP Server acts as a bridge between AI assistants and StarRocks databases. It allows for direct SQL execution, database exploration, data visualization via charts, and retrieving detailed schema/data overviews without requiring complex client-side setup.

<a href="https://glama.ai/mcp/servers/@StarRocks/mcp-server-starrocks"> </a>

• Direct SQL Execution: Run SELECT queries (read_query) and DDL/DML commands (write_query).
• Database Exploration: List databases and tables, retrieve table schemas (starrocks:// resources).
• System Information: Access internal StarRocks metrics and states via the proc:// resource path.
• Detailed Overviews: Get comprehensive summaries of tables (table_overview) or entire databases (db_overview), including column definitions, row counts, and sample data.
• Data Visualization: Execute a query and generate a Plotly chart directly from the results (query_and_plotly_chart).
• Intelligent Caching: Table and database overviews are cached in memory to speed up repeated requests. Cache can be bypassed when needed.
• Flexible Configuration: Set connection details and behavior via environment variables.

The MCP server is typically run via an MCP host. Configuration is passed to the host, specifying how to launch the StarRocks MCP server process.

Using Streamable HTTP (recommended):

To start the server in Streamable HTTP mode:

First test connect is ok:

$ STARROCKS_URL=root:@localhost:8000 uv run mcp-server-starrocks --test

Start the server:

uv run mcp-server-starrocks --mode streamable-http --port 8000

Then config the MCP like this: