StarRocks MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect StarRocks through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="StarRocks Assistant",
instructions=(
"You help users interact with StarRocks. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from StarRocks"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from StarRocks through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries StarRocks, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the StarRocks MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from StarRocks
Why Use OpenAI Agents SDK with the StarRocks MCP Server
OpenAI Agents SDK provides unique advantages when paired with StarRocks through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
StarRocks + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the StarRocks MCP Server delivers measurable value.
Automated workflows: build agents that query StarRocks, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries StarRocks, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through StarRocks tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query StarRocks to resolve tickets, look up records, and update statuses without human intervention
StarRocks MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect StarRocks to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting StarRocks to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
StarRocks + OpenAI Agents SDK FAQ
Common questions about integrating StarRocks MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect StarRocks with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect StarRocks to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.