Fly.io MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fly.io through the 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
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 Fly.io, 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 MCP Server
Connect your Fly.io account to any AI agent and take full control of your edge computing and container orchestration through natural conversation.
The Vercel AI SDK gives every Fly.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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 Space Orchestration — List logical parent containers (Apps) spanning the Fly Edge network, identifying anycast assignments and dedicated IPv4/IPv6 IPs natively
- Machine Runtime Management — Navigate and control individual MicroVM (Machine) endpoints, fetching unique IDs and explicit placement regions flawlessly
- Autonomous Scaling — Provision new highly available Edge Machines to scale horizontal capacities dynamically without waiting on full platform deployments
- Live Health Auditing — Examine exhaustive runtime states, returning dynamic executing statuses (started, stopped, suspended) and docker image digests in real-time
- Remote Command Execution — Inject and run shell commands inside active Machines bypassing SSH by interacting directly with the hypervisor API securely
- Persistent Storage Control — List hardware NVMe Volumes attached to your apps to manage stateful data like PostgreSQL or SQLite independent of compute
- Network DNA Extraction — Retrieve the operational baseline of Fly Apps, identifying Wireguard ranges and cluster master regions synchronously
The Fly.io MCP Server exposes 10 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 Fly.io to Vercel AI SDK via MCP
Follow these steps to integrate the Fly.io 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 10 tools from Fly.io and passes them to the LLM
Why Use Vercel AI SDK with the Fly.io MCP Server
Vercel AI SDK provides unique advantages when paired with Fly.io 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 integration everywhere
Built-in streaming UI primitives let you display Fly.io 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 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fly.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fly.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fly.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fly.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fly.io through natural language queries
Fly.io MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Fly.io to Vercel AI SDK via MCP:
create_machine
Scales horizontal capacities dynamically without waiting on full platform deployments. Provision a new highly available Edge Machine inside an App
delete_machine
The Firecracker VM is dropped, compute billing ceases immediately, and any ephemeral disk state dissolves. Fails safely if persistent volumes are explicitly attached without the force flag. Terminate and destroy a Fly Machine forever (Scale Down)
exec_machine
Useful for `ls`, `ps aux`, `top`, or running internal database diagnostic migrations. Inject and run a shell/Bash command inside an active Fly Machine
get_app
Identifies the primary Region holding the cluster master, internal Wireguard network ranges assigned, and any active Anycast IPs actively routing inbound user traffic globally. Retrieve the operational baseline state of a distinct Fly App
get_machine
Returns dynamic executing states ("started", "stopped", "suspended"), the precise docker image digest/SHA actively booted into RAM, and any mapped volume points tying persistent SQLite/Postgres logs. Get exhaustive runtime states attached to a single Fly Machine
list_apps
Apps are fundamentally distinct collections of individual microVMs (Machines), dedicated IPv4/IPv6 anycast assignments, and persistent storage volumes. List Fly.io App spaces belonging to an Organization
list_machines
Retrieves unique identifiers and explicit placement Regions (e.g., iad, ams, nrt). List individual MicroVM (Machine) endpoints inside a Fly App
list_volumes
Crucial identifier for managing stateful applications (PostgreSQL, SQLite, persistent cache) safely independent of compute instances. List persistent hardware NVMe Volumes attached to an App
start_machine
Utilized extensively when recovering paused batch processors or restarting crashed worker nodes dynamically across edge points of presence. Boot a previously stopped or suspended Fly Machine
stop_machine
Drastically reduces latency bills during idle cycles outside typical user ingress bands. Gracefully halt a running Fly.io internal Machine
Example Prompts for Fly.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fly.io immediately.
"List all machines in my 'web-api' app"
"Run 'ls -la /app' on machine '918572b0' in app 'web-api'"
"Show me the persistent volumes for 'web-api'"
Troubleshooting Fly.io MCP Server with Vercel AI SDK
Common issues when connecting Fly.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFly.io + Vercel AI SDK FAQ
Common questions about integrating Fly.io 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 Fly.io 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 Fly.io to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.