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 LangChain 10 tools — connect in under 2 minutes

Name: Fly.io
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Fly.io through 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": {
            "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, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Fly.io through native MCP adapters. Connect 10 tools via 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 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 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 to LangChain via MCP

Follow these steps to integrate the Fly.io 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 10 tools from Fly.io via MCP

Why Use LangChain with the Fly.io MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Fly.io 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 queries for multi-turn workflows

Fly.io + LangChain Use Cases

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

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

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

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

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

Fly.io MCP Tools for LangChain (10)

These 10 tools become available when you connect Fly.io to LangChain 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 LangChain

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fly.io + LangChain FAQ

Common questions about integrating Fly.io 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.