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Starrocks MCP Server

MCP Server

Bridge AI assistants to StarRocks with instant SQL execution

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Updated Mar 22, 2025

About

The Starrocks MCP Server enables AI assistants to query and manage StarRocks databases directly, providing tools for SELECT, DDL/DML operations, schema inspection, and system metrics without complex setup.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

StarRocks MCP Server

The StarRocks MCP Server bridges AI assistants with a StarRocks data warehouse, enabling seamless SQL execution and database introspection without the need for manual driver configuration or complex connection strings. By exposing a set of well‑defined tools and resources, the server lets developers ask an AI to run queries, explore schemas, or retrieve system metrics, all through the familiar MCP interface. This eliminates the friction of setting up JDBC connections or writing custom adapters, making data exploration as straightforward as chatting with a colleague.

The server offers two primary tools: for SELECT statements that return a result set, and for DDL/DML or other commands that modify data without producing a result set. These tools are intentionally lightweight, ensuring low latency and predictable resource usage. In addition to direct execution, the server provides a rich set of resources that expose metadata and operational information. For example, lists all databases, while retrieves a table’s schema via . The resource mirrors StarRocks’ internal ‑style interface, giving AI clients access to node status, transaction logs, job queues, and performance statistics—valuable for troubleshooting or monitoring.

For developers building AI‑powered analytics workflows, this MCP server unlocks several real‑world use cases. A data scientist can ask an assistant to “show me the schema of sales_orders” or “run a quick aggregation on last month’s traffic,” and receive instant, formatted results. An operations engineer can query or to diagnose load skew, while a data engineer can programmatically list tables in a database and verify their partitions. Because the server adheres to MCP’s standard, it integrates effortlessly with any Claude or other AI platform that supports the protocol—no custom SDKs required.

Unique advantages include native support for StarRocks’ cloud‑native and on‑prem deployments via the same interface, and a comprehensive resource that exposes deep system insights. This combination of direct query execution, metadata access, and operational telemetry makes the StarRocks MCP Server a powerful tool for developers who need to embed database interactions into conversational AI or automated pipelines without wrestling with connection details.