StarRocks MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect StarRocks through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"starrocks": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "StarRocks Agent",
instructions:
"You help users interact with StarRocks " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with StarRocks?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and StarRocks tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the StarRocks MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from StarRocks via MCP
Why Use Mastra AI with the StarRocks MCP Server
Mastra AI provides unique advantages when paired with StarRocks through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add StarRocks without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every StarRocks tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
StarRocks + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the StarRocks MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query StarRocks, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed StarRocks as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query StarRocks on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using StarRocks tools alongside other MCP servers
StarRocks MCP Tools for Mastra AI (10)
These 10 tools become available when you connect StarRocks to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting StarRocks to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpStarRocks + Mastra AI FAQ
Common questions about integrating StarRocks MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.