How do I create a Fly.io Personal Access Token?

Log in to the [**Fly.io Dashboard**](https://fly.io/dashboard), go to **Settings** > **Personal Access Tokens**, click **Create**, name your token and copy it immediately — it won't be shown again. Alternatively, use `fly tokens create` from the CLI after authenticating with `fly auth login`.

What is a Fly.io Machine and how does it work?

A Machine is a Fly.io VM (micro-VM) that runs your Docker container image. Each machine has its own CPU, memory, storage and IP address. Machines can be started, stopped, restarted and updated independently. They can run in any of Fly.io's 30+ global regions and are the fundamental compute unit of the platform.

Can I start and stop machines to save costs?

Yes! Use `stop_machine` to halt a machine and release its compute resources, and `start_machine` to boot it again. Stopped machines don't incur compute charges. This is perfect for development/staging environments that don't need to run 24/7. Persistent volumes attached to stopped machines retain all data.

How do I deploy a machine in a specific region?

Use the `create_machine` tool with the `region` parameter set to your desired Fly.io region code. Common regions include: `iad` (Virginia, US), `sjc` (San Jose, US), `nrt` (Tokyo, Japan), `fra` (Frankfurt, Germany), `syd` (Sydney, Australia). The full list is available in the Fly.io documentation.

Fly.io Alternative MCP Server for Pydantic AI 13 tools — connect in under 2 minutes

Name: Fly.io Alternative
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 13 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fly.io Alternative through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Fly.io Alternative "
            "(13 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Fly.io Alternative?"
    )
    print(result.data)

asyncio.run(main())

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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 Alternative MCP Server

Connect your Fly.io account to any AI agent and take full control of your edge compute infrastructure through natural conversation.

Pydantic AI validates every Fly.io Alternative tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

App Management — List all apps and retrieve their configuration details including regions, status and organization
Machine Lifecycle — Create, start, stop, restart, update and delete machines (VMs) with full control over CPU, memory, region and image
Machine Inspection — View machine state, configuration, services, health checks and IP addresses
Persistent Volumes — List and create persistent storage volumes that survive machine restarts and redeployments
Certificate Management — Review TLS/SSL certificates and their issuance status for app domains
Global Deployment — Deploy machines across Fly.io's global regions (iad, sjc, nrt, fra, syd, etc.) for low-latency access

The Fly.io Alternative MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic 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 Fly.io Alternative to Pydantic AI via MCP

Follow these steps to integrate the Fly.io Alternative MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 13 tools from Fly.io Alternative with type-safe schemas

Why Use Pydantic AI with the Fly.io Alternative MCP Server

Pydantic AI provides unique advantages when paired with Fly.io Alternative through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Fly.io Alternative integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Fly.io Alternative connection logic from agent behavior for testable, maintainable code

Fly.io Alternative + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Fly.io Alternative MCP Server delivers measurable value.

Type-safe data pipelines: query Fly.io Alternative with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Fly.io Alternative tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Fly.io Alternative and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Fly.io Alternative responses and write comprehensive agent tests

Fly.io Alternative MCP Tools for Pydantic AI (13)

These 13 tools become available when you connect Fly.io Alternative to Pydantic AI via MCP:

create_machine

io app. Requires the Docker image reference (e.g. "registry.fly.io/myapp:latest"). Optionally set the region (e.g. "iad", "sjc", "nrt"), CPU cores (1-16), memory in MB (256-8192), guest CPU kind (shared, performance) and services config. Machines start in stopped state — use start_machine after creation. Create a new machine in a Fly.io app

create_volume

Requires the volume name and size in gigabytes. Optionally set the region. The volume must be attached to a machine via the machine config mounts. Create a persistent volume for a Fly.io app

delete_machine

The machine cannot be recovered. Optionally set force=true to delete even if the machine has an attached volume. Provide the app_name and machine_id. WARNING: this action is irreversible. Delete a Fly.io machine permanently

get_app

io app including its name, status, regions, organization and network configuration. Provide the app name (not ID). Get details for a specific Fly.io app

get_machine

Provide both the app_name and machine_id. Get details for a specific Fly.io machine

list_apps

io account. Each app is a collection of machines (VMs) running your code across Fly.io's global edge network. Returns app name, status, region and creation date. Use the app name for all subsequent machine, volume and certificate operations. List all Fly.io apps

list_certificates

io app. Each certificate has a hostname, status (issued, pending, failed) and source (lets_encrypt, self_signed, acme). Use this to audit HTTPS certificate status for your app's domains. List TLS/SSL certificates for a Fly.io app

list_machines

io app. Each machine has an ID, name, state (started, stopped, created, destroyed), region, image reference, CPU/memory config and IP addresses. Machines are the fundamental compute units on Fly.io. List machines (VMs) for a Fly.io app

list_volumes

io app. Each volume has an ID, name, state, size in GB, region and the machine it is attached to. Volumes provide persistent storage that survives machine restarts. List persistent volumes for a Fly.io app

restart_machine

Useful for applying configuration changes or recovering from issues. Provide the app_name and machine_id. Restart a Fly.io machine

start_machine

The machine will boot and begin running its configured image. Provide the app_name and machine_id. Start a stopped Fly.io machine

stop_machine

The machine will stop and release its compute resources but retains its configuration and data. Provide the app_name and machine_id. Stop a running Fly.io machine

update_machine

You can modify the Docker image, CPU/memory allocation, services config, mounts and more. Provide the app_name, machine_id and a JSON body with the fields to update. Update a Fly.io machine configuration

Example Prompts for Fly.io Alternative in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Fly.io Alternative immediately.

"Show me all machines running in my web-api app."

"Start the stopped machine in Tokyo and restart the one in Frankfurt."

"Create a new 10GB volume called 'data' for my database app in Virginia."

Troubleshooting Fly.io Alternative MCP Server with Pydantic AI

Common issues when connecting Fly.io Alternative to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fly.io Alternative + Pydantic AI FAQ

Common questions about integrating Fly.io Alternative MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Fly.io Alternative MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.