How to Use the Fly.io MCP in AutoGen
Deploy coordinated AutoGen agents to debate, audit, and execute scaling decisions across your Fly.io edge infrastructure.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fly.io MCP to AutoGen
Create your Vinkius account to connect Fly.io to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Run consensus-driven Fly.io scaling in AutoGen
Set up a multi-agent debate where a budget agent and a performance agent negotiate infrastructure changes. The performance agent calls `list_machines` to detect high load, arguing for more compute. Meanwhile, the budget agent audits the proposal. Once they reach a consensus, the executing agent calls `create_machine` to deploy a new microVM, ensuring you never over-provision resources.
Secure automated deployments with this MCP Server
Protect your cluster using this MCP Server by letting a dedicated security agent audit container configurations. The security agent triggers `get_machine` to verify the active docker image digest before any code goes live. If the image digest doesn't match your registry whitelist, the security agent blocks the deployment. It can then trigger `stop_machine` to halt any unauthorized instances immediately.
Coordinate multi-agent disaster recovery on Fly.io
Deploy a recovery swarm that monitors and repairs your edge network. When an app goes down, one agent checks the network using `get_app` while another lists persistent disks via `list_volumes`. A third agent runs diagnostic commands using `exec_machine` to identify database errors. If the database is corrupted, the swarm coordinates to spin up a fresh instance and safely run `delete_machine` on the broken node.
Set up Fly.io MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Fly.io tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Fly.io_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Fly.io data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Fly.io_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Fly.io data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fly.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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 AutoGen
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