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.

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.

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.

StarRocks MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: StarRocks
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add StarRocks as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="starrocks_agent",
            tools=tools,
            system_message=(
                "You help users with StarRocks. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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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

About StarRocks MCP Server

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use StarRocks tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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.

The StarRocks MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect StarRocks to AutoGen via MCP

Follow these steps to integrate the StarRocks MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from StarRocks automatically

Why Use AutoGen with the StarRocks MCP Server

AutoGen provides unique advantages when paired with StarRocks through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use StarRocks tools to solve complex tasks

Role-based architecture lets you assign StarRocks tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive StarRocks tool calls

Code execution sandbox: AutoGen agents can write and run code that processes StarRocks tool responses in an isolated environment

StarRocks + AutoGen Use Cases

Practical scenarios where AutoGen combined with the StarRocks MCP Server delivers measurable value.

Collaborative analysis: one agent queries StarRocks while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from StarRocks, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using StarRocks data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process StarRocks responses in a sandboxed execution environment

StarRocks MCP Tools for AutoGen (10)

These 10 tools become available when you connect StarRocks to AutoGen via MCP:

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

Example Prompts for StarRocks in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with StarRocks immediately.

"List all databases in my StarRocks cluster."

"Show me the average order value from the 'sales' table."

"Check for any offline backend nodes."

Troubleshooting StarRocks MCP Server with AutoGen

Common issues when connecting StarRocks to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

StarRocks + AutoGen FAQ

Common questions about integrating StarRocks MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call StarRocks tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.