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Dropnote

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/dropnote

Install

Overview

Description from the maker (original English)

Drop a short text fragment into the noglow desktop scratchpad's target slot via the local app.

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).
  • The registry lists no key to fill in.

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": {
    "dropnote": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dropnote",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add dropnote -- npx -y @reneturcios/dropnote mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dropnote": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dropnote",
        "mcp"
      ]
    }
  }
}

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": {
    "dropnote": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dropnote",
        "mcp"
      ]
    }
  }
}

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 32380 servers in this category
  • Published to the registry more recently than 90% of the other 32380 servers in this category
  • Basic checks equal to or better than 100% of the other 32380 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 Dropnote 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 (0.1.0) reached the registry 3 days 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, Docker on your computer.

What can I use instead?

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

Alternatives

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

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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.

dropnote

Sometimes you just need a fragment of text to land in a scratchpad — a line you copied out of a terminal, a half-formed thought, a snippet you do not want to lose while you switch windows. dropnote performs that one small hand-off: it takes a short plaintext fragment and drops it into the noglow desktop scratchpad's target slot (the slot is chosen in the app's own settings) by launching the local noglow app.

The text never travels as a command-line string. dropnote writes it, byte-for-byte as UTF-8, to a uniquely-named temporary file (noglow-drop- .txt in the OS temp directory) and spawns the app with a single argument, --drop-file . Because only the path sits on argv, newlines, quotes, $ and backticks all survive exactly as written, and the fragment itself stays out of the process list. The spawn is fire-and-forget: dropnote reports success as soon as the app process has been launched, and it leaves the temp file in place — the app reads it and deletes it.

Fragments are capped at 1500 characters. A missing or non-string text, an empty fragment, and an over-long fragment are all errors with fixed messages, as are a temp file that cannot be written and a binary that cannot be launched.

Which binary gets launched is resolved in a fixed order: the NOGLOW_BIN environment variable when it is set and non-empty, otherwise the platform default — /Applications/noglow.app/Contents/MacOS/noglow on macOS and %LOCALAPPDATA%\noglow\noglow.exe on Windows. On Linux the bare name noglow is used and resolved through PATH. The noglow desktop app must be installed for a drop to work; without it, the launch error names the path that was tried and points at NOGLOW_BIN.

On success a drop reports dropped (true), characters (the fragment's length), tempFile (the temp file's path), and binary (the resolved binary that was spawned), in that order.

CLI

npx @reneturcios/dropnote drop '{"text":"a fragment to keep"}'

npx @reneturcios/dropnote --version

The drop command takes the full arguments object as one JSON string and prints the result as JSON:

{

"dropped": true, "characters": 18, "tempFile": "/tmp/noglow-drop-3f2a1c9e-4b7d-8e5a-9c0d-1a2b3c4d5e6f.txt", "binary": "noglow" }

Exit codes: 0 on success, 1 on a runtime error (including an unparseable JSON argument or a failed drop), 2 on a usage error.

MCP server

npx -y @reneturcios/dropnote mcp

MCP client config:

{

"mcpServers": { "dropnote": { "command": "npx", "args": ["-y", "@reneturcios/dropnote", "mcp"] } } }

Tools
  • drop — Drop a short text fragment (up to 1500 characters) into the noglow scratchpad's target slot via the local noglow app. Fires only on an explicit user request.
  • text (string, required) — the fragment to drop; newlines and formatting are preserved

Returns {dropped, characters, tempFile, binary}. Errors are returned as error results carrying one of the fixed messages: text is required, text must not be empty, text exceeds the 1500-character limit (got N), failed to write drop file: , or failed to launch noglow binary at : (set NOGLOW_BIN to override the binary path).

Docker

docker run -i ghcr.io/cloudcorprecords/dropnote

docker run --rm ghcr.io/cloudcorprecords/dropnote drop '{"text":"a fragment to keep"}'

Note that a containerised drop launches a noglow binary inside the container; point NOGLOW_BIN at a binary available there, or prefer the local install.

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake executor plus a stand-in script; no real app) npm run dev # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

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