How to Use the Fly.io Alternative MCP in AutoGen
Build multi-agent AutoGen teams that debate, approve, and execute edge infrastructure changes safely.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fly.io Alternative MCP to AutoGen
Create your Vinkius account to connect Fly.io Alternative 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.
Secure your deployments with this MCP Server
Let multi-agent AutoGen teams debate and double-check every infrastructure change before execution, starting with a developer agent proposing a configuration using `create_machine`. A separate security agent then reviews the parameters before authorizing the deployment. This collaborative process ensures that configurations like CPU cores and memory are checked against budget limits. Only after both agents reach consensus does the framework trigger the VM creation.
Automated peer-reviewed VM updates
Modifying running systems is risky, but your AutoGen conversation framework allows a deployment agent to prepare the JSON body for `update_machine` while a QA agent reviews the changes. They negotiate the exact parameters in a group chat to ensure nothing breaks. The deployment agent focuses on minimizing downtime, while the QA agent verifies the Docker image tag. Once approved, the tool runs, ensuring no unverified images make it to your production edge.
Consensus-driven resource cleanup
Avoid runaway cloud bills by letting an AutoGen auditing agent run `list_machines` and debate resource usage with a budget coordinator agent. The agent identifies idle resources that are wasting money. Before running `delete_machine`, they must reach consensus on whether any critical data remains on attached volumes. They check the volume status via `list_volumes` before executing the final deletion.
Set up Fly.io Alternative 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 Alternative 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 Alternative_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Fly.io Alternative 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 Alternative_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Fly.io Alternative 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.
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Common questions about Fly.io Alternative MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Fly.io Alternative MCP today
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