Fly.io MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Fly.io as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="flyio_agent",
tools=tools,
system_message=(
"You help users with Fly.io. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Fly.io tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Fly.io MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Fly.io automatically
Why Use AutoGen with the Fly.io MCP Server
AutoGen provides unique advantages when paired with Fly.io through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Fly.io tools to solve complex tasks
Role-based architecture lets you assign Fly.io tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Fly.io tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Fly.io tool responses in an isolated environment
Fly.io + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Fly.io MCP Server delivers measurable value.
Collaborative analysis: one agent queries Fly.io while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Fly.io, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Fly.io data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Fly.io responses in a sandboxed execution environment
Fly.io MCP Tools for AutoGen (10)
These 10 tools become available when you connect Fly.io to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Fly.io to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Fly.io + AutoGen FAQ
Common questions about integrating Fly.io MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Fly.io with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fly.io to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
