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How to Use the Fly.io MCP in VS Code Copilot

Deploy and monitor Fly.io microVMs across your engineering team using VS Code Copilot and MCP.

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VS Code Copilot

Connect Fly.io MCP to VS Code Copilot

Create your Vinkius account to connect Fly.io to VS Code Copilot 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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Control edge deployments inside VS Code Copilot

This Fly.io MCP Server integrates your edge deployment pipeline directly into VS Code Copilot. Team members can run `list_apps` from the VS Code Copilot chat window to inspect active Fly.io organizational spaces. Your developers can check the status of staging and production Fly Machines without leaving their primary VS Code workspace. When a Fly.io service needs to scale, the developer commands Copilot to execute `create_machine` to spin up additional Firecracker VMs. This standardizes Fly.io infrastructure commands across the entire engineering team through a shared VS Code configuration file.

Run team-wide diagnostics via VS Code Copilot

The `exec_machine` tool allows VS Code Copilot to run secure shell commands inside production Fly Machines. When an incident occurs, any authorized developer can ask Copilot to inspect Fly.io logs or check process memory. Copilot executes the commands securely inside the Fly Machine and prints the results directly in the VS Code editor chat. To verify the fix, developers run `get_machine` to check if the target Fly.io VM returned to a healthy state. This workflow keeps your entire team aligned on real-time Fly.io infrastructure status during active VS Code debugging sessions.

Manage database storage in VS Code Copilot

The `list_volumes` tool exposes physical Fly.io NVMe volume states directly to the VS Code Copilot interface. When developers collaborate on stateful Fly.io services, they query the active volume mounts to prevent data loss during scale-down events. Before running `delete_machine` in VS Code Copilot, the tool checks this volume list to verify if a persistent disk is attached. This safety check prevents accidental destruction of database nodes and ensures smooth Fly.io state transitions.

Setup guide

Set up Fly.io MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the Fly.io MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the Fly.io tools listed. Try asking: "List my recent Fly.io transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "flyio-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 VS Code Copilot

Commit a `.vscode/mcp.json` file to your team's Git repository with the server settings. Every developer on the team gets automatic access to the MCP tools as soon as they open the workspace.
Yes, the assistant uses `create_machine` to provision new microVMs on demand. Developers trigger this action using simple natural language commands in the Copilot Chat interface.
Copilot runs `get_machine` to pull the exact execution state and active Docker image digest. It reports whether instances are running, stopped, or suspended directly to your team.
Yes, it utilizes `exec_machine` to run diagnostic commands inside your active containers. This allows your team to troubleshoot production bugs directly from the editor.
Access is secured using individual Vinkius tokens that map to your organization's Fly.io API keys. The server only transmits operational metadata and machine states, ensuring your proprietary application code remains confidential.

Start using the Fly.io MCP today

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