Can my agent scale up my application by creating more machines in a specific region?

Yes. Use the 'create_machine' tool. You can specify the region (e.g., 'iad', 'gru') and the Docker image. The agent will command the Fly.io orchestrator to boot up new VM instances instantly to handle increased demand.

How do I run a database migration or shell command on a live machine via chat?

Use the 'exec_machine' tool. Provide the machine ID and the command. The agent bypasses SSH entirely by interacting directly with the hypervisor API to run your binary alongside the running container securely.

Can I check the health and image version of my active machines through the agent?

Absolutely. The 'get_machine' tool retrieves exhaustive runtime states, including container health, current executing status (started/stopped), and the precise docker image digest actively booted into memory.

Fly.io MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Fly.io
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fly.io through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Fly.io Assistant",
            instructions=(
                "You help users interact with Fly.io. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Fly.io"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenAI Agents SDK auto-discovers all 10 tools from Fly.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fly.io, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Fly.io MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Fly.io

Why Use OpenAI Agents SDK with the Fly.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Fly.io through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Fly.io + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Fly.io MCP Server delivers measurable value.

Automated workflows: build agents that query Fly.io, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Fly.io, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Fly.io tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Fly.io to resolve tickets, look up records, and update statuses without human intervention

Fly.io MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Fly.io to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Fly.io to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Fly.io + OpenAI Agents SDK FAQ

Common questions about integrating Fly.io MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.