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PopNx MCPMCP servers for people who use AI · explained in plain words

Pls Touch Grass

by Rinavaversion 0.3.0i★ –iRuns on your computer
Registry nameio.github.Rinava/pls-touch-grass

Install

Overview

Description from the maker (original English)

An MCP server that knows how long it's been since you touched grass

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GRASS_STATE_FILE

You need

  • npmNode.js installed (for the npx command)

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-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • GRASS_STATE_FILE env
    Path to the JSON file holding your grass-touching history. Defaults to ~/.pls-touch-grass.json

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Rinava, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32599 servers in this category
  • Published to the registry more recently than 24% of the other 32599 servers in this category
  • Basic checks equal to or better than 100% of the other 32599 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Pls Touch Grass safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Zendesk

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Zendesk

by pipeworx-io

Zendesk MCP Pack — tickets, users, organizations via OAuth.

Computer or cloudUpdated today
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README from the maker

Open the README

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.

pls-touch-grass-mcp

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.

Install

Claude Code
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.

Cursor

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"] } } }

Claude Desktop

.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).

claude.ai

No. Custom connectors want a remote server over HTTPS; this is stdio on your own machine. HTTP transport is the first item under Homework.

From source
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.

The five tools

ToolWhat it doesWhen the model calls it
touched_grassLogs that you went outside"back from the park"
gotta_goDo you need to go out?"can I keep going?"
frustration_detectorCatches the rage and escalateson its own, when you snap; that's the point
grass_conditionsReal weather (Open-Meteo, no key)before sending you outside
where_to_touch_grassNearby 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.

Zero configuration

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.

The demo curse

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.

Follow the workshop

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.

Homework

  • HTTP transport: createMcpHandler in SDK v2 serves the same factory over fetch, and it's what gets you onto claude.ai
  • Per-project thresholds instead of a global one
  • Streak tracking for consecutive grass days
  • Demo spots for your own city, via PR: one object per park in src/lib/demo.ts, with an opinion

Release

npm 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.

Contributing

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).

License

MIT. The grass is free and so is this.

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