ScratchRun

Ephemeral MicroVM-isolated code execution for AI agents. Fresh VM per call, hard-purged after.

AI & MLJavaScriptv0.1.1

@scratchrun/mcp-server

MCP server for ScratchRun — ephemeral, MicroVM-isolated code execution for AI agents.

Each call runs in a fresh hardware-isolated MicroVM. The VM is hard-purged after execution. No state, no files, nothing persists between calls.

Install

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "scratchrun": {
      "command": "npx",
      "args": ["-y", "@scratchrun/mcp-server"],
      "env": {
        "SCRATCHRUN_API_KEY": "sr_live_your_key_here"
      }
    }
  }
}

Get an API key at scratchrun.dev.

Tool: scratchrun_exec

Executes code in an ephemeral sandbox and returns stdout, stderr, exit code, and any output files.

Parameters:

ParameterTypeRequiredDescription
runtimepython3.12 | python3.11 | node20 | bashyesRuntime to use
codestringyesCode to execute
timeout_msintegernoTimeout in ms (default 10000, max 30000)
memory_mbintegernoMemory limit in MB (default 256, max 512)
envobjectnoEnvironment variables — use for secrets, not code strings
filesobjectnoFiles to write before execution (path → content)
return_filesstring[]noFile paths to capture after execution (returned as base64)

Example — run Python and return a chart:

{
  "runtime": "python3.12",
  "code": "import matplotlib.pyplot as plt\nimport numpy as np\nx = np.linspace(0, 10, 100)\nplt.plot(x, np.sin(x))\nplt.savefig('/tmp/plot.png')",
  "return_files": ["/tmp/plot.png"]
}

Output files are returned as base64. Image files (PNG, JPG, SVG) are returned as MCP image content blocks and render inline in Claude.

Isolation

  • Hardware-virtualized MicroVM per execution (own kernel, not a shared-kernel container)
  • TerminateMicroVM called unconditionally after every run — VM destroyed, never reused
  • RFC 1918 + cloud metadata (169.254.x.x) always blocked at the network layer
  • Read-only system filesystem via OverlayFS; /tmp is RAM-backed and gone with the VM

Latency

~400ms median (warm pool). 2–8s cold start if the pool is empty.

License

MIT

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y @scratchrun/mcp-server

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "dev-scratchrun-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@scratchrun/mcp-server"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

@scratchrun/mcp-servernpm

Compatible MCP Clients

ScratchRun works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

Learn More