Letswork

Name: Letswork
Author: saicharanrajoju

by saicharanrajojuversion 3.0.0i★ –iRuns on your computer

Registry nameio.github.saicharanrajoju/letswork

Install

Overview

Description from the maker (original English)

Real-time collaborative coding via MCP — two developers, one codebase

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Developer tools

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

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "letswork": {
      "command": "uvx",
      "args": [
        "letswork"
      ]
    }
  }
}

Run this in your terminal

claude mcp add letswork -- uvx letswork

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "letswork": {
      "command": "uvx",
      "args": [
        "letswork"
      ]
    }
  }
}

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": {
    "letswork": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "letswork"
      ]
    }
  }
}

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account saicharanrajoju, 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 Developer toolsi

More stars than 0% of the other 1391 servers in this category
Published to the registry more recently than 13% of the other 1391 servers in this category
Basic checks equal to or better than 100% of the other 1391 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 Letswork 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 (3.0.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago

Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago

Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago

Install

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.

LetsWork

Real-time collaborative coding via Claude Code — two developers, one codebase, each using their own Claude subscription.

One developer hosts the session. The other joins from anywhere. Both get a live Claude Code window connected to the same project — with file locking and an approval system to prevent conflicts.

How It Works

Host runs letswork start inside their project folder
A secure HTTPS tunnel is created automatically via Cloudflare
A one-time URL + guest token is generated and printed
Host shares the join command with the guest
Guest runs letswork join --token on their machine
Both developers now have Claude Code connected to the same codebase

Requirements

Requirement	macOS	Windows (WSL)
Python 3.10+	`brew install python`	Comes with Ubuntu WSL
cloudflared	`brew install cloudflared`	See WSL section below
Claude Code	`npm install -g @anthropic-ai/claude-code`	`npm install -g @anthropic-ai/claude-code` (inside WSL)
Node.js	`brew install node`	`sudo apt install nodejs npm` (inside WSL)

macOS — Host Setup

The host is the developer who owns the project. You start the session and share the join command.

Step 1 — Install dependencies

brew install cloudflared

pip install letswork

Step 2 — Install Claude Code

npm install -g @anthropic-ai/claude-code

Step 3 — Start the session

Navigate to your project folder and run:

cd /path/to/your/project

letswork start

You will be asked for your display name, then a session box appears:

╔══════════════════════════════════════════════════════════════════════╗

║ 🤝 LetsWork Session Active ║ ║ ║ ║ Send this command to your collaborator: ║ ║ letswork join https://abc123.trycloudflare.com --token a1b2c3d4 ║ ║ ║ ║ Press Ctrl+C to stop. ║ ╚══════════════════════════════════════════════════════════════════════╝

Copy the full `letswork join ...` command and send it to your collaborator.

Two new terminal windows open automatically:

Claude Code — already connected to LetsWork
A chat window to communicate with your collaborator

Step 4 — Approve guest changes

When the guest edits a file, you'll see a notification in Claude Code. Ask Claude:

get_pending_changes

Then approve or reject:

approve_change <id>

reject_change

Step 5 — Stop the session

Press Ctrl+C in the terminal where you ran letswork start.

macOS — Guest Setup

The guest connects to the host's project. You need the join command from the host.

Step 1 — Install dependencies

brew install cloudflared

pip install letswork

Step 2 — Install Claude Code

npm install -g @anthropic-ai/claude-code

Step 3 — Join the session

Run the command the host sent you:

letswork join https://abc123.trycloudflare.com --token a1b2c3d4

You'll be asked for your display name. Then two windows open:

Claude Code — connected to the host's project
A chat window to communicate with the host

Step 4 — Edit files

Ask Claude to read and edit files normally. When you write a file, it goes into an approval queue — the host reviews it before it's written to disk. You'll get a notification when it's approved or rejected.

Windows — Guest Setup (WSL)

LetsWork runs inside WSL (Windows Subsystem for Linux). The guest experience is the same as macOS once WSL is set up.

Step 1 — Enable WSL and install Ubuntu

Open PowerShell as Administrator and run:

wsl --install

Restart your computer when prompted. Ubuntu will install automatically.

Open Ubuntu from the Start menu and set up your Linux username and password.

Step 2 — Install dependencies inside Ubuntu

Open Ubuntu and run these one by one:

# Update packages

sudo apt update && sudo apt upgrade -y

Install Python

sudo apt install python3 python3-pip -y

Install Node.js and npm

sudo apt install nodejs npm -y

Install cloudflared

curl -L https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 -o cloudflared chmod +x cloudflared sudo mv cloudflared /usr/local/bin/

Install letswork

pip3 install letswork

Step 3 — Install Claude Code inside Ubuntu

npm install -g @anthropic-ai/claude-code

Step 4 — Join the session

Run the command the host sent you, inside Ubuntu:

letswork join https://abc123.trycloudflare.com --token a1b2c3d4

You'll be asked for your display name. Claude Code launches directly in the same terminal window.

Note for Windows users: Claude Code runs in the WSL terminal — not as a separate window. Everything else works identically to macOS.

MCP Tools Available

Both host and guest have access to these tools inside Claude Code:

Tool	Who Can Use	Description
`list_files`	Both	List files and directories with lock status
`read_file`	Both	Read file contents (1MB limit, text files only)
`write_file`	Both	Submit a file change (guest changes need host approval)
`lock_file`	Both	Lock a file for exclusive editing
`unlock_file`	Both	Release your own file lock
`get_status`	Both	Show session info, connected users, and active locks
`get_notifications`	Both	Quick summary of what needs attention
`ping`	Both	Verify connection to the host MCP server
`set_display_name`	Guest only	Set your display name for the session
`my_pending_changes`	Guest only	View your submitted changes awaiting approval
`get_pending_changes`	Host only	View all changes awaiting approval with diffs
`approve_change`	Host only	Approve a pending change and write it to disk
`reject_change`	Host only	Reject a pending change
`force_unlock`	Host only	Force-release a stuck file lock

Approval Flow

Guest file writes do not go directly to disk — they go through the host's approval queue:

Guest asks Claude to edit a file → write_file submits the change
Host sees: 📝 guest submitted change to server.py (ID: a1b2c3)
Host asks Claude: get_pending_changes — sees a full diff
Host approves: approve_change a1b2c3 → file is written to disk
Or rejects: reject_change a1b2c3 → guest is notified

Security

Random Cloudflare subdomain — URL is unguessable
Cryptographic token — second auth layer on top of the URL
All traffic encrypted via HTTPS
Path traversal prevention — guest cannot access files outside the project root
File locks auto-expire after 30 minutes
No accounts, no signup, no persistent credentials — session ends when host stops

Constraints

Maximum 2 users per session (Host + 1 Guest)
Text files only — binary files not supported
1MB file size limit per read/write operation
Guest has no shell access — file operations only
cloudflared must be installed on the host machine (guest does not need it on macOS, but WSL guests do)

CLI Reference

letswork start [--port PORT] [--debug]   # Start a session (default port: 8000)

letswork join --token # Join a session as guest

Architecture

Host Machine:

[Project Files] ← [MCP Server :8000] ← [Cloudflare Tunnel] ← HTTPS URL ↑ Guest connects here via stdio proxy + secret token

The guest connects through a stdio proxy rather than directly over HTTP — this avoids Cloudflare SSE reliability issues and gives stable MCP connectivity.

License

MIT — see LICENSE

Built with the Model Context Protocol.

Letswork

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

LetsWork

How It Works

Requirements

macOS — Host Setup

Step 1 — Install dependencies

Step 2 — Install Claude Code

Step 3 — Start the session

Step 4 — Approve guest changes

Step 5 — Stop the session

macOS — Guest Setup

Step 1 — Install dependencies

Step 2 — Install Claude Code

Step 3 — Join the session

Step 4 — Edit files

Windows — Guest Setup (WSL)

Step 1 — Enable WSL and install Ubuntu

Step 2 — Install dependencies inside Ubuntu

Install Python

Install Node.js and npm

Install cloudflared

Install letswork

Step 3 — Install Claude Code inside Ubuntu

Step 4 — Join the session

MCP Tools Available

Approval Flow

Security

Constraints

CLI Reference

Architecture

License