Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
An MCP server that knows how long it's been since you touched grass
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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.
GRASS_STATE_FILEYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pls-touch-grass": {
"command": "npx",
"args": [
"-y",
"pls-touch-grass-mcp"
],
"env": {
"GRASS_STATE_FILE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add pls-touch-grass --env GRASS_STATE_FILE=your-value -- npx -y pls-touch-grass-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pls-touch-grass": {
"command": "npx",
"args": [
"-y",
"pls-touch-grass-mcp"
],
"env": {
"GRASS_STATE_FILE": "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": {
"pls-touch-grass": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pls-touch-grass-mcp"
],
"env": {
"GRASS_STATE_FILE": "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.
GRASS_STATE_FILE envThese 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 with the GitHub account Rinava, which owns the repo
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (0.3.0) 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, Zendesk
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.
Zendesk MCP Pack — tickets, users, organizations via OAuth.
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An MCP server that knows how long it's been since you touched grass, and won't shut up about it.
You log grass, it tracks indoor time, it catches you raging at your AI and sends you to the nearest park, weather checked first. A joke, but one that teaches MCP: five tools, shared state, and descriptions that make the model call them unprompted.
claude mcp add pls-touch-grass -s user -- npx -y pls-touch-grass-mcp
-s user, or the server only exists in the directory you ran that from. Working from a clone, skip the command: there's a .mcp.json in the root and Claude Code offers it when you open the folder.
Or the JSON, in ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project):
{
"mcpServers": { "pls-touch-grass": { "command": "npx", "args": ["-y", "pls-touch-grass-mcp"] } } }
.mcpb from Releases, then Settings → Extensions → Install Extension. Dependencies are bundled; installs offline. By hand it's the same JSON as Cursor, in claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows).
No. Custom connectors want a remote server over HTTPS; this is stdio on your own machine. HTTP transport is the first item under Homework.
git clone https://github.com/Rinava/pls-touch-grass-mcp
cd pls-touch-grass-mcp npm ci && npm run build
Point any config above at node /absolute/path/to/dist/index.js instead.
npx -y downloads the package on first start — live audiences and venue wifi deserve a warm cache. Published on npm as pls-touch-grass-mcp, in the MCP Registry as io.github.Rinava/pls-touch-grass.
| Tool | What it does | When the model calls it |
|---|---|---|
touched_grass | Logs that you went outside | "back from the park" |
gotta_go | Do you need to go out? | "can I keep going?" |
frustration_detector | Catches the rage and escalates | on its own, when you snap; that's the point |
grass_conditions | Real weather (Open-Meteo, no key) | before sending you outside |
where_to_touch_grass | Nearby parks with distances (OpenStreetMap) | "where should I go?", or when you name a place |
Nobody teaches the model to detect frustration: the tool description does it alone. Type "NOTHING WORKS!!!" and watch.
Location resolves fresh from your IP (ipwho.is) each run — city-level on purpose. Detection down: last known spot, then the Obelisco, like everyone else. Name a neighborhood or a street address to where_to_touch_grass and it sticks: known neighborhoods resolve offline, anything else is geocoded once through OpenStreetMap's Nominatim, and only the words you typed leave your machine. A place you named outranks a guess from your IP, until you name a different one.
Indoor tolerance defaults to a merciless 2 minutes; ask the model for clemency and it passes a bigger threshold_minutes to gotta_go. State is one JSON file, ~/.pls-touch-grass.json. Touching grass resets the rage counter. That's how absolution works.
Live demos summon it: the venue wifi dies the moment you say "watch this". Add --demo to the args and every answer goes canned — 22°C and clear, the Obelisco, the curated spots. Zero network calls, zero surprises. Off by default; real life should stay real.
The repo is tagged by step:
git checkout step-1 # stdio server + touched_grass
git checkout step-2 # + gotta_go (state and threshold) git checkout step-3 # + frustration_detector (the demo) git checkout step-4 # + grass_conditions (network with fallback) git checkout step-5 # + where_to_touch_grass and this README npm ci && npm test
Every step compiles and passes its own tests. Two dependencies total: the official MCP SDK and zod.
createMcpHandler in SDK v2 serves the same factory over fetch, and it's what gets you onto claude.aisrc/lib/demo.ts, with an opinionnpm run build:mcpb packs dist and the production dependencies into pls-touch-grass-mcp- .mcpb, the file that goes on a GitHub Release. The manifest is generated from package.json; nothing to keep in sync by hand.
Issues and PRs welcome — the Homework list is seeded as open issues, several tagged good first issue. See CONTRIBUTING.md for setup and the house rules (there are few, but the demo-spot opinion is mandatory).
MIT. The grass is free and so is this.