Starburst MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Starburst 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: {
"starburst": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Starburst Agent",
instructions:
"You help users interact with Starburst " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Starburst?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Starburst tool infrastructure. Connect 6 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
- 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 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 Starburst to Mastra AI via MCP
Follow these steps to integrate the Starburst 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 6 tools from Starburst via MCP
Why Use Mastra AI with the Starburst MCP Server
Mastra AI provides unique advantages when paired with Starburst through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Starburst 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 Starburst 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
Starburst + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Starburst MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Starburst, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Starburst as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Starburst on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Starburst tools alongside other MCP servers
Starburst MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Starburst to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Starburst to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpStarburst + Mastra AI FAQ
Common questions about integrating Starburst 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 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 Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.