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Vinkius

Flystack MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Flystack through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Flystack, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Flystack MCP Server

Empower your AI agent to orchestrate your entire cloud infrastructure and deployment auditing workflow with Flystack, the comprehensive source for programmable infrastructure data. By connecting Flystack to your agent, you transform complex DevOps tasks into a natural conversation. Your agent can instantly retrieve active deployments, audit cluster health, and monitor performance metrics without you ever touching a cloud console. Whether you are conducting system audits or managing application scaling, your agent acts as a real-time infrastructure consultant, ensuring your data is always comprehensive and up-to-the-minute.

The Vercel AI SDK gives every Flystack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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

  • Deployment Auditing — Retrieve high-resolution details for all active deployments, including status, region, and creation metadata.
  • Cluster Oversight — Audit the health and configuration of your infrastructure clusters to maintain strict organizational control.
  • Performance Intelligence — Query real-time metrics including CPU and memory usage to understand the operational scale of your applications instantly.
  • Resource Discovery — Retrieve detailed metadata for specific deployment IDs to assist in deep-dive infrastructure classification.
  • Operational Monitoring — Check API status to ensure your infrastructure research workflow is always operational.

The Flystack MCP Server exposes 5 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 Flystack to Vercel AI SDK via MCP

Follow these steps to integrate the Flystack MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 5 tools from Flystack and passes them to the LLM

Why Use Vercel AI SDK with the Flystack MCP Server

Vercel AI SDK provides unique advantages when paired with Flystack through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Flystack integration everywhere

03

Built-in streaming UI primitives let you display Flystack tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Flystack + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Flystack MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Flystack in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Flystack tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Flystack capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Flystack through natural language queries

Flystack MCP Tools for Vercel AI SDK (5)

These 5 tools become available when you connect Flystack to Vercel AI SDK via MCP:

01

check_api_status

Check if the Flystack service is operational

02

get_cluster_metrics

Get real-time performance metrics for a specific cluster

03

get_deployment_details

Get full details for a specific deployment by ID

04

list_flystack_clusters

List all infrastructure clusters in your Flystack account

05

list_flystack_deployments

List all active deployments in your Flystack account

Example Prompts for Flystack in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Flystack immediately.

01

"List all active deployments using Flystack."

02

"What are the metrics for cluster ID 'cluster-123'?"

03

"Show details for deployment 'api-gateway'."

Troubleshooting Flystack MCP Server with Vercel AI SDK

Common issues when connecting Flystack to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Flystack + Vercel AI SDK FAQ

Common questions about integrating Flystack MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Flystack to Vercel AI SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.