Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Ephemeral MicroVM-isolated code execution for AI agents. Fresh VM per call, hard-purged after.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
SCRATCHRUN_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"scratchrun": {
"command": "npx",
"args": [
"-y",
"@scratchrun/mcp-server"
],
"env": {
"SCRATCHRUN_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add scratchrun --env SCRATCHRUN_API_KEY=your-value -- npx -y @scratchrun/mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"scratchrun": {
"command": "npx",
"args": [
"-y",
"@scratchrun/mcp-server"
],
"env": {
"SCRATCHRUN_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"scratchrun": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@scratchrun/mcp-server"
],
"env": {
"SCRATCHRUN_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain scratchrun.dev (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: SCRATCHRUN_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.
scratchrun_execExecutes 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.
TerminateMicroVM called unconditionally after every run — VM destroyed, never reused169.254.x.x) always blocked at the network layer/tmp is RAM-backed and gone with the VM~400ms median (warm pool). 2–8s cold start if the pool is empty.
MIT