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 Google ADK 10 tools — connect in under 2 minutes

Name: StarRocks
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add StarRocks as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="starrocks_agent",
    instruction=(
        "You help users interact with StarRocks "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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

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.

Google ADK natively supports StarRocks as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the StarRocks MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from StarRocks via MCP

Why Use Google ADK with the StarRocks MCP Server

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

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with StarRocks

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine StarRocks tools with BigQuery, Vertex AI, and Cloud Functions

StarRocks + Google ADK Use Cases

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

Enterprise data agents: ADK agents query StarRocks and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine StarRocks tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query StarRocks regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including StarRocks

StarRocks MCP Tools for Google ADK (10)

These 10 tools become available when you connect StarRocks to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

StarRocks + Google ADK FAQ

Common questions about integrating StarRocks MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.