How to Use the Fly.io MCP in Google ADK

Q: Can I trigger Fly.io shell commands from Google ADK agents?

Yes, you can use execmachine to run diagnostic commands inside active Firecracker VMs. The Google ADK captures the standard output, allowing your agent to parse logs and execute follow-up recovery steps.

Q: How does Google ADK manage Fly.io persistent volumes?

Your agent queries active hardware storage using listvolumes to ensure data safety. The Google ADK then matches these volume IDs against your database configurations before making any scaling decisions.

Manage global Fly.io microVMs and persistent volumes directly from your Gemini workflows using this MCP Server and the Google ADK.

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Create your Vinkius account to connect Fly.io to Google ADK 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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Setup Fly.io with Google ADK

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Long-Context VM Analysis with Google ADK

The `list_machines` tool retrieves unique identifiers and regional placements for all your edge microVMs. Because the Google ADK handles million-token contexts, your agent can ingest the entire state of hundreds of machines at once. Processing this massive payload alongside performance logs lets the agent decide which instances need optimization. It then executes `stop_machine` on idle nodes to cut your edge hosting costs immediately.

Enterprise Storage Mapping via MCP Server

The `list_volumes` tool maps persistent NVMe hardware drives directly to your Google ADK agent. This MCP integration lets your Gemini models cross-reference active database storage with BigQuery operational datasets. When storage limits are reached, the agent triggers `create_machine` to mount new volumes in the correct regional zones. You avoid silent data corruption by letting the agent verify the active mounts via `get_machine`.

Direct Edge Execution and Networking

The `exec_machine` tool runs remote shell commands inside your active containers straight from the Google ADK interface. This lets your agent run migrations, check local disk space, or inspect system processes without manual SSH key setup. To route traffic correctly, the agent inspects Wireguard networks and Anycast IPs using `get_app`. It coordinates these network boundaries across your global deployment by listing active spaces with `list_apps`.

Setup guide

Set up Fly.io MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Fly.io tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Fly.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fly.io tools via MCP.",
    tools=mcp_tools,
)

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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 MCP in Google ADK

The Google ADK takes advantage of Gemini's long-context window to analyze outputs from `list_machines` across dozens of regions. This allows the agent to build a complete mental map of your Fly.io infrastructure in a single turn.

Yes, you can use `exec_machine` to run diagnostic commands inside active Firecracker VMs. The Google ADK captures the standard output, allowing your agent to parse logs and execute follow-up recovery steps.

Your agent queries active hardware storage using `list_volumes` to ensure data safety. The Google ADK then matches these volume IDs against your database configurations before making any scaling decisions.

This MCP Server supports both Stdio and HTTP transports. You configure it using the standard HTTP connection parameters provided in your Vinkius dashboard.

Your Fly.io credentials are never stored on Google Cloud or exposed to the model. Vinkius runs the server in an ephemeral, zero-trust sandbox, passing only the execution outputs of tools like `get_app` to your agent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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