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AI Agent for StarRocks MCP Server

Seamlessly connect your AI assistants with StarRocks databases using the official StarRocks MCP Server integration. Execute direct SQL queries, explore databases, visualize data with Plotly charts, and retrieve detailed schema or data overviews—all without complex client-side setup. Accelerate analytics and insights with intelligent caching and flexible, secure configuration.

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Minimalist illustration of SQL and data management

Effortless SQL & Data Management

Run SQL queries, explore table schemas, and manage your StarRocks database directly through your AI agent. Simplify data operations and empower teams to access insights faster—all through one unified platform.

Direct SQL Execution.
Run SELECT, DDL, and DML commands instantly for fast data operations.
Comprehensive Exploration.
List databases and tables, retrieve schemas, and view system metrics all in one place.
Data Visualization.
Generate interactive Plotly charts from your queries for actionable insights.
Smart Caching.
In-memory caching speeds up repeat queries and overviews for efficient performance.
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Flexible Integration & Configuration

Connect via Streamable HTTP for secure, real-time data access. Tailor connection parameters and environment variables for your deployment needs—no proprietary SDKs required.

Customizable Settings.
Easily adjust connection details, database defaults, and caching limits through environment variables.
Streamable HTTP Mode.
Access the server via RESTful JSON over HTTP POST for seamless integration into any workflow.
Secure Authentication.
Supports custom authentication plugins for enterprise security requirements.
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Comprehensive StarRocks Resource Access

Leverage direct resource APIs to list databases, retrieve schemas, access system metrics, and gather detailed overviews for informed decision-making. Designed for advanced analytics and operational transparency.

Table & Database Overviews.
Instantly access schemas, row counts, and sample data with just one API call.
System Metrics & Monitoring.
Query StarRocks internal states and performance metrics for operational visibility.

MCP INTEGRATION

Available StarRocks MCP Integration Tools

The following tools are available as part of the StarRocks MCP integration:

read_query

Execute SELECT queries or commands that return a result set, such as SHOW or DESCRIBE, to retrieve data from StarRocks.

write_query

Run DDL or DML SQL commands (CREATE, INSERT, UPDATE, DELETE, etc.) that modify schema or data without returning a result set.

table_overview

Get a detailed overview of a specific table, including columns, row count, and sample data, with optional cache refresh.

db_overview

Generate a summary overview for all tables within a specified database, including schema and sample data, with caching support.

query_and_plotly_chart

Execute a SQL query and generate a Plotly chart from the results for interactive data visualization.

Experience the Power of StarRocks MCP Server

See how you can seamlessly connect AI assistants to your StarRocks databases for instant SQL execution, schema exploration, and data visualization—all with minimal setup.

StarRocks landing page

What is StarRocks

StarRocks is a high-performance, open-source analytical database designed for real-time analytics at enterprise scale. Developed under the Linux Foundation, StarRocks delivers a next-generation real-time SQL engine that supports both data lakehouse and traditional data warehouse workloads. Its architecture is optimized for low latency, high concurrency, and provides sub-second, ad-hoc analytical queries on massive datasets. StarRocks enables organizations to unify batch and streaming data sources, making it easy to deliver rapid insights across business operations. The platform is trusted by major enterprises for its reliability, scalability, and ability to handle complex analytics with ease.

Capabilities

What we can do with StarRocks

With StarRocks, users can build fast, scalable, and interactive analytics solutions for a wide range of use cases. The platform is suitable for real-time data exploration, dashboarding, and complex reporting, and is designed to support high-concurrency workloads with low latency. StarRocks' flexible architecture connects seamlessly to cloud data lakes and on-premises sources, empowering businesses to unlock deep insights from their data.

Real-time Analytics
Deliver sub-second query performance for interactive dashboards and analytics.
Unified Data Access
Analyze streaming and batch data from both data lakes and traditional warehouses.
Scalability
Effortlessly scale to handle large data volumes and high user concurrency.
High Performance
Execute complex SQL queries with industry-leading speed and efficiency.
Easy Integration
Integrate with popular BI tools and data pipelines for seamless analytics workflows.
vectorized server and ai agent

How AI Agents Benefit from StarRocks

AI agents can leverage StarRocks to access and process vast amounts of real-time and historical data at lightning speed. With its optimized SQL engine and support for high-concurrency workloads, StarRocks enables AI-powered applications to generate insights, detect patterns, and make intelligent decisions faster than ever before. The platform’s flexible integration capabilities also allow AI agents to seamlessly connect with multiple data sources, supporting advanced analytics and machine learning workflows.