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How to Use the Fly.io MCP in CrewAI

Deploy autonomous infrastructure management crews using CrewAI and the Fly.io MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

Fly.io MCP on Cursor AI Code Editor MCP Client Fly.io MCP on Claude Desktop App MCP Integration Fly.io MCP on OpenAI Agents SDK MCP Compatible Fly.io MCP on Visual Studio Code MCP Extension Client Fly.io MCP on GitHub Copilot AI Agent MCP Integration Fly.io MCP on Google Gemini AI MCP Integration Fly.io MCP on Lovable AI Development MCP Client Fly.io MCP on Mistral AI Agents MCP Compatible Fly.io MCP on Amazon AWS Bedrock MCP Support
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CrewAI

Connect Fly.io MCP to CrewAI

Create your Vinkius account to connect Fly.io to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Collaborative infrastructure agents

Assign a monitor agent to watch your apps with `list_machines` and `get_machine`. If a machine goes down, the agent alerts the crew. Your action agent then uses `start_machine` to resolve the outage. The crew works together to maintain your uptime without constant human intervention.

Autonomous scaling for CrewAI

Let your crew handle horizontal growth. The researcher agent checks `list_apps` to assess global load and reports to the manager. The manager decides when to run `create_machine`. It keeps your infrastructure balanced across regions like iad or nrt based on real-time data.

Automated disk and volume management

Use your crew to audit storage usage. Agents iterate through `list_volumes` and identify unused hardware that you can decommission. This keeps your costs down. They safely manage the lifecycle of your persistent data by checking status before executing `delete_machine`.

Setup guide

Set up Fly.io MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Fly.io tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Fly.io Analyst",
    goal="Access and analyze Fly.io data via MCP.",
    backstory="Expert analyst with direct Fly.io access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Fly.io transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Fly.io MCP in CrewAI

Yes, you pass the server URL to your CrewAI agents. They will then have the ability to inspect, scale, and repair your machines as defined by their roles.
You can restrict which tools each agent uses in your CrewAI setup. For example, give your monitor agent read-only access to `get_app` while limiting `delete_machine` to your admin agent.
It does. You can have a manager agent oversee the infrastructure state while specialized agents carry out specific tasks like patching machines via `exec_machine`.
The server enforces zero-trust access. Only the authorized agent with the correct endpoint token can interact with your machines, keeping your configuration isolated.
The agents only see operational telemetry like machine state, region placement, and image digests. Your proprietary application code and user databases stay secure.

Start using the Fly.io MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Fly.io. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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