How to Use the StarRocks MCP in Vercel AI SDK
See StarRocks data appear live in your Next.js app using the Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect StarRocks MCP to Vercel AI SDK
Create your Vinkius account to connect StarRocks to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Discovering Database Structure with MCP Server
Need to know what tables exist before running a query? First, you can use `list_databases` to see every top-level data source. Then, check the specific structure of any table by calling `get_table_schema`. This lets your user build queries accurately without guessing column names.
Running Complex Queries via Vercel AI SDK
This is where you get answers. Your agent runs arbitrary SQL using the `execute_query` tool. You send a prompt, and your client streams back the results of that complex StarRocks query in real-time. It's fast, direct data streaming right into the user interface.
Checking Cluster Health on MCP Server
Before trusting the data, you gotta check the infrastructure. Call `get_cluster_info` to confirm your frontend nodes are up and running. You can also list physical backend nodes using `list_nodes`. This gives your app confidence that the underlying StarRocks system is healthy.
Set up StarRocks MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all StarRocks tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent StarRocks transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by StarRocks. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about StarRocks MCP in Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the StarRocks MCP today
We host it, we monitor it, we maintain it. You just paste one token.