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StarRocks

StarRocks MCP Server

Built by Vinkius GDPR ToolsFree for Subscribers

High-performance analytical database — manage clusters, tables, and query data via AI.

Vinkius supports streamable HTTP and SSE.

AI AgentVinkius
High Security·Kill Switch·Plug and Play
StarRocks
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the StarRocks MCP Server?

The StarRocks MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to StarRocks via 10 tools. High-performance analytical database — manage clusters, tables, and query data via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

execute_queryget_cluster_infoget_storage_usageget_table_schemalist_databaseslist_jobslist_mvslist_nodeslist_tableslist_views

Tools for your AI Agents to operate StarRocks

Ask your AI agent "List all databases in my StarRocks cluster." and get the answer without opening a single dashboard. With 10 tools connected to real StarRocks data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

StarRocks MCP Server capabilities

10 tools
execute_query

Execute arbitrary SQL query

get_cluster_info

Get frontend nodes info

get_storage_usage

Get data storage statistics

get_table_schema

Get table structure

list_databases

List all databases

list_jobs

List data load jobs

list_mvs

List materialized views

list_nodes

List backend nodes

list_tables

List tables in a database

list_views

List database views

What the StarRocks MCP Server unlocks

Empower your AI agent to orchestrate your high-performance OLAP infrastructure with StarRocks, the leading distributed analytical database. By connecting StarRocks to your agent, you transform complex cluster auditing, schema management, and data querying into a natural conversation. Your agent can instantly list databases, retrieve table schemas, monitor backend nodes, and even execute complex SQL queries without you ever needing to open a SQL terminal or the StarRocks Manager. Whether you are conducting a data audit or monitoring real-time ingestion jobs, your agent acts as a real-time data reliability assistant, keeping your analytical platform accurate and your insights moving.

What you can do

  • Database Orchestration — List all databases and retrieve detailed table schemas and structures.
  • Analytical Querying — Execute arbitrary SQL queries directly through the agent to retrieve real-time insights.
  • Cluster Monitoring — Browse status and metadata for Frontend (FE) and Backend (BE) nodes to audit health.
  • Ingestion Control — Monitor data load jobs and historical ingestion performance for your analytical pipelines.
  • Storage Insights — Retrieve disk usage and data size statistics across the entire distributed cluster.

How it works

1. Subscribe to this server
2. Enter your StarRocks FE Host, Port, User, and Password
3. Start managing your OLAP infrastructure through Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Engineers — automate schema auditing and monitor ingestion pipelines through natural language queries.
  • Analytics Leads — coordinate data access and audit materialized views directly from your AI-powered workspace.
  • Infrastructure SREs — monitor cluster node health and storage usage via a unified AI interface.
  • StarRocks Power Users — integrate your existing analytical workflows into your AI-driven daily routines.

Frequently asked questions about the StarRocks MCP Server

01

How do I find my StarRocks FE Host and Port?

The FE Host is the IP address or domain of your StarRocks Frontend node. The default HTTP port is 8030. You can verify these in your deployment configuration or by contacting your administrator.

02

Can I execute DELETE or UPDATE queries through this server?

Yes. Use the execute_query tool. As long as your authenticated user has the necessary permissions in StarRocks, you can execute any valid SQL statement, including DDL and DML operations.

03

Is it possible to monitor cluster health through the agent?

Yes! Use the get_cluster_info and list_nodes tools to retrieve real-time status for all Frontend and Backend nodes, helping you identify offline or overloaded nodes instantly.

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Give your AI agents the power of StarRocks MCP Server

Production-grade StarRocks MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.