StarRocks MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect StarRocks through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using StarRocks, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every StarRocks tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the StarRocks MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from StarRocks and passes them to the LLM
Why Use Vercel AI SDK with the StarRocks MCP Server
Vercel AI SDK provides unique advantages when paired with StarRocks through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same StarRocks integration everywhere
Built-in streaming UI primitives let you display StarRocks tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
StarRocks + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the StarRocks MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query StarRocks in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate StarRocks tools and return structured JSON responses to any frontend
Chatbots with tool use: embed StarRocks capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with StarRocks through natural language queries
StarRocks MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect StarRocks to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting StarRocks to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStarRocks + Vercel AI SDK FAQ
Common questions about integrating StarRocks MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.