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MCP Sandbox Computer VM for AI

MCP server · by flujo-app

Developer Tools Python v0.2.3

Named Docker and Fly Machine sandbox computers with an interactive MCP App dashboard.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx mcp-sandbox-computer-vm-for-ai

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "mcp-sandbox-computer-vm-for-ai": {
      "command": "uvx",
      "args": [
        "mcp-sandbox-computer-vm-for-ai"
      ]
    }
  }
}

About this server

MCP Sandbox Computer VM for AI is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the MCP Sandbox Computer VM for AI MCP server?

MCP Sandbox Computer VM for AI is an MCP server by flujo-app. Named Docker and Fly Machine sandbox computers with an interactive MCP App dashboard.

How do I install MCP Sandbox Computer VM for AI?

Install it with: uvx mcp-sandbox-computer-vm-for-ai. Then add the JSON config to your client's MCP settings and restart the client.

Is MCP Sandbox Computer VM for AI free to use?

The MCP server itself is free to install. The source is public on https://github.com/flujo-app/mcp-sandbox-computer-vm-for-ai. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support MCP Sandbox Computer VM for AI?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.