ScratchRun MCP Server
Ephemeral MicroVM-isolated code execution for AI agents. Run Python, Node, or bash — fresh hardware-isolated VM per call, hard-purged after. No state persists between calls.
README
@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:
| Parameter | Type | Required | Description |
|---|---|---|---|
runtime |
python3.12 | python3.11 | node20 | bash |
yes | Runtime to use |
code |
string | yes | Code to execute |
timeout_ms |
integer | no | Timeout in ms (default 10000, max 30000) |
memory_mb |
integer | no | Memory limit in MB (default 256, max 512) |
env |
object | no | Environment variables — use for secrets, not code strings |
files |
object | no | Files to write before execution (path → content) |
return_files |
string[] | no | File 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)
TerminateMicroVMcalled 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;
/tmpis RAM-backed and gone with the VM
Latency
~400ms median (warm pool). 2–8s cold start if the pool is empty.
License
MIT
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