Fly.io Extended MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 28 tools to Check Certificate, Create Acme Certificate, Create App, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fly.io Extended through 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 for Vercel AI SDK
The Fly.io Extended MCP Server for Vercel AI SDK is a standout in the Ship It category — giving your AI agent 28 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Fly.io Extended, 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 Fly.io Extended MCP Server
Connect your Fly.io account to any AI agent to orchestrate your cloud infrastructure through natural language. This server provides full access to the Fly Machines API, allowing for granular control over global deployments.
The Vercel AI SDK gives every Fly.io Extended tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 28 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
- App Management — Create, list, and delete Fly Apps across your organizations.
- Machine Lifecycle — Start, stop, suspend, and update individual Machines with precise configuration control.
- Storage & Volumes — Provision, extend, and manage persistent volumes and snapshots for your stateful applications.
- Network & Security — Manage ACME and custom certificates, and request OIDC tokens for secure workload identity.
- Real-time Monitoring — Wait for specific machine states and fetch detailed metadata for debugging and orchestration.
The Fly.io Extended MCP Server exposes 28 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 28 Fly.io Extended tools available for Vercel AI SDK
When Vercel AI SDK connects to Fly.io Extended through Vinkius, your AI agent gets direct access to every tool listed below — spanning fly-io, cloud-computing, infrastructure-as-code, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Check certificate on Fly.io Extended
Trigger DNS validation check for a certificate
Create acme certificate on Fly.io Extended
Request a Let's Encrypt certificate
Create app on Fly.io Extended
Create a new Fly App
Create custom certificate on Fly.io Extended
Import a custom PEM certificate
Create lease on Fly.io Extended
Create a lease for a Machine
Create machine on Fly.io Extended
Requires a config object containing at least the image. Create a new Fly Machine
Create volume on Fly.io Extended
Create a new volume
Delete app on Fly.io Extended
Delete a Fly App
Delete certificate on Fly.io Extended
Remove hostname and certificates
Delete machine on Fly.io Extended
Delete a Machine
Delete volume on Fly.io Extended
Delete a volume
Extend volume on Fly.io Extended
Increase volume size
Get app on Fly.io Extended
Get details about a Fly App
Get certificate on Fly.io Extended
Get certificate details
Get machine on Fly.io Extended
Get Machine details
Get volume on Fly.io Extended
Get volume details
List apps on Fly.io Extended
List Fly Apps
List certificates on Fly.io Extended
List all certificates for an app
List machines on Fly.io Extended
List all Machines in an app
List volume snapshots on Fly.io Extended
List volume snapshots
List volumes on Fly.io Extended
List all volumes in an app
Release lease on Fly.io Extended
Release a lease for a Machine
Request oidc token on Fly.io Extended
Request an OpenID Connect (OIDC) token
Start machine on Fly.io Extended
Start a Machine
Stop machine on Fly.io Extended
Stop a Machine
Suspend machine on Fly.io Extended
Suspend a Machine
Update machine on Fly.io Extended
Update Machine configuration
Wait machine on Fly.io Extended
Wait for a specific Machine state
Connect Fly.io Extended to Vercel AI SDK via MCP
Follow these steps to wire Fly.io Extended into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Fly.io Extended MCP Server
Vercel AI SDK provides unique advantages when paired with Fly.io Extended 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 Fly.io Extended integration everywhere
Built-in streaming UI primitives let you display Fly.io Extended 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
Fly.io Extended + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fly.io Extended MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fly.io Extended in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fly.io Extended tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fly.io Extended capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fly.io Extended through natural language queries
Example Prompts for Fly.io Extended in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fly.io Extended immediately.
"List all my Fly.io apps in the 'personal' organization."
"Start the machine with ID 9185210b6e4d8p in the app 'my-api-server'."
"Create a 10GB volume named 'data_vol' in the 'ams' region for app 'db-primary'."
Troubleshooting Fly.io Extended MCP Server with Vercel AI SDK
Common issues when connecting Fly.io Extended to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFly.io Extended + Vercel AI SDK FAQ
Common questions about integrating Fly.io Extended 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.Explore More MCP Servers
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