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 LangChain 13 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 13 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Fly.io Alternative through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "flyio-alternative": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Fly.io Alternative, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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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 Alternative MCP Server

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

LangChain's ecosystem of 500+ components combines seamlessly with Fly.io Alternative through native MCP adapters. Connect 13 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 13 tools from Fly.io Alternative via MCP

Why Use LangChain with the Fly.io Alternative MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Fly.io Alternative MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Fly.io Alternative queries for multi-turn workflows

Fly.io Alternative + LangChain Use Cases

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

RAG with live data: combine Fly.io Alternative tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Fly.io Alternative, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Fly.io Alternative tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Fly.io Alternative tool call, measure latency, and optimize your agent's performance

Fly.io Alternative MCP Tools for LangChain (13)

These 13 tools become available when you connect Fly.io Alternative to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fly.io Alternative + LangChain FAQ

Common questions about integrating Fly.io Alternative MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.