Starburst MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Starburst through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Starburst, 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 Starburst MCP Server
Integrate the powerful federated data analytics capabilities of Starburst directly into your conversational AI workflows. Empower your data engineering and analytics teams to query extensive data lakes, manage organizational roles, and explore detailed schemas without needing to explicitly switch between database clients. Securely map your AI assistant to your Starburst host, enabling natural language orchestration of complex Trino-based data products to accelerate data discovery and governance across your entire enterprise architecture.
The Vercel AI SDK gives every Starburst tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through 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
- Federated Query Execution — Pass complex SQL statements programmatically against your connected data sources utilizing
execute_query, receiving structured analytic returns directly. - Schema & Catalog Discovery — Actively map your data landscape by inspecting linked databases invoking
list_catalogs, and drill down into specific table hierarchies usinglist_schemas. - Data Product Management — Manage and retrieve existing analytical data products across the Starburst network systematically validating data definitions using
list_data_products. - Governance & Role Administration — Inspect access control limitations securely by navigating role assignments formally deploying requests through
list_rolesand evaluating privilege thresholds.
The Starburst MCP Server exposes 6 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 Starburst to Vercel AI SDK via MCP
Follow these steps to integrate the Starburst 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 6 tools from Starburst and passes them to the LLM
Why Use Vercel AI SDK with the Starburst MCP Server
Vercel AI SDK provides unique advantages when paired with Starburst 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 Starburst integration everywhere
Built-in streaming UI primitives let you display Starburst 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
Starburst + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Starburst MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Starburst in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Starburst tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Starburst capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Starburst through natural language queries
Starburst MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Starburst to Vercel AI SDK via MCP:
get_query_details
Retrieves details for a specific SQL query
list_catalogs
g., S3, Snowflake, Iceberg) are connected. Lists all data catalogs available in Starburst Galaxy
list_data_products
Lists all published data products
list_domains
Lists data product domains
list_queries
Lists recent SQL queries executed in the cluster
list_roles
Lists all security roles in the organization
Example Prompts for Starburst in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Starburst immediately.
"List all active operational catalogs across the current data lake instance, and fetch the underlying schematics of any source containing the designation 'finance' in its structure."
"Execute a query to retrieve the top 10 rows from the 'customer_analytics' table located in our 'production_hive' catalog."
"List all registered data products across the Starburst network and check current role assignments to ensure proper access."
Troubleshooting Starburst MCP Server with Vercel AI SDK
Common issues when connecting Starburst to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStarburst + Vercel AI SDK FAQ
Common questions about integrating Starburst 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 Starburst 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 Starburst to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.