
Whatsapp Mcp
io.github.meharajMPublished by GitHub account meharajMv2.0.1Updated Oct 24, 2026
WhatsApp MCP Server - Human-in-the-loop for AI agents via WhatsApp
Overview
WhatsApp MCP lets an AI agent message you on WhatsApp and wait for your reply, so it can request confirmations or send status updates while you are away.
- What you can do
- Connect and disconnect the WhatsApp session, with QR-code login on first use
- Send one-way WhatsApp notifications, with optional markdown formatting
- Ask a question and block until a reply arrives, queuing concurrent questions
- Poll unsolicited inbound messages and check connection or auth status
- When to use it
- Useful when you run autonomous or long agent sessions in Cursor, Claude Desktop, Claude Code or similar clients and want approvals, permission requests or alerts delivered to your phone instead of waiting at the IDE.
- Requirements
- Runs locally over stdio, typically via npx, so Node.js and npm must be on the PATH. Requires WHATSAPP_TARGET_NUMBER (the default recipient JID) and a WhatsApp account to link by scanning a QR code; the session is stored under the home directory. Optionally set WHATSAPP_ALLOWED_NUMBERS to restrict who may answer.
Installation
In SourceWeft
- Open Whatsapp Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
This is an MCP (Model Context Protocol) server that enables AI agents (like Claude or Cursor) to interact directly with you via WhatsApp. It bridges the gap between your autonomous AI and your phone, allowing for runtime confirmations, permission requests, or simple status updates while you are away from your computer.
- AI agent messaging
- AI agent confirmations
- Agent interrupt system
- AI alerts
- MCP server
- Cursor MCP
- Claude Desktop MCP
- AI notifications
Perfect for
- Cursor
- Claude Desktop
- Claude Code
- OpenCode
- Codex
- Autonomous AI workflows
Example
AI: Deploy to production?
WhatsApp: [YES] [NO]
You: YES
Agent continues.
🚀 Quick Start (NPX)
Since this package is published to NPM, you can run it directly via npx in your MCP configuration.
Cursor / Claude Configuration
Add this to your MCP configuration file:
Note about Allowed Numbers:
WHATSAPP_TARGET_NUMBERis the default recipient for all messages. However, if your target is a Whatsapp Group, any member of the group would be able to answer the AI by default. To restrict replies only to specific numbers (to prevent unauthorized people from answering), you can optionally add a comma-separated list of numbers as an environment variable:"WHATSAPP_ALLOWED_NUMBERS": "[email protected],[email protected]". If set, the AI will ONLY honor responses from these specific matching users.
Troubleshooting
npx: executable file not found in $PATHorenv: node: No such file or directory: If your IDE/Agent complains it cannot findnpxornode, it's because GUI apps (like Cursor) don't inherit your terminal's$PATH. To fix this, explicitly pass yourPATHin the MCPenvconfig.
Authentication (First time only)
The very first time you use the MCP server, it needs to authenticate with WhatsApp Web:
- Call the
connecttool via your Agent, or just use any WhatsApp tool normally. If the session is not authenticated yet, the server will trigger authentication automatically. - The tool result will return the QR code image directly in MCP content so modern clients can render it inline.
- If your client does not render inline images, the server also tries to write a local fallback HTML page under
~/.whatsapp-mcp/qr.html. - Open WhatsApp on your phone -> Linked Devices -> Link a Device, and scan the QR.
- The authentication session is saved to your home directory (
~/.whatsapp-mcp/baileys_auth_info), so you don't need to scan it again across restarts.
Remote "Auto-Pilot" Workflow (Skip IDE Prompts)
To make your AI agent run fully autonomously and only ask for permissions/guidance via WhatsApp (allowing you to step away from your computer):
- Remove IDE Security Blockers: When your agent (like Cursor or Claude) asks for permission to run a command or read a file, select
Always Allow(or enable "yolo" mode in settings). This gives the agent the mechanical freedom to operate without pausing indefinitely for a UI click. - Add a
.cursorrules(or system prompt) file: You must explicitly instruct the AI to use WhatsApp whenever it reaches a logical decision point. Create a.cursorrulesfile in your project root with this exact prompt:
With these two steps, the AI will proactively proactively use the ask_question tool to beam its logical permission requests directly to your phone instead of freezing in the IDE.
Features & Tools
connect: Connects to the WhatsApp network. If not logged in, returns a native QR image in the tool result and may also provide a local HTML fallback.disconnect: Completely logs out of WhatsApp and invalidates the session credentials.send_message: Sends a one-way notification. Supports optional WhatsApp markdown mapping (*bold*). If the server is not connected yet, it auto-triggers authentication first.ask_question: Sends a prompt and blocks execution until a reply is received (with a timeout). Concurrent questions are smartly queued and tagged with references. If the server is not connected yet, it auto-triggers authentication first.get_incoming_messages: Polls unsolicited inbound WhatsApp messages so agents that do not support server-side sampling can still retrieve them.get_status: Provides agent connection state monitoring, including auth state such asconnected,connecting, orqr_pending.- Server instructions + prompt: The server exports built-in workflow instructions and a
whatsapp-autopilotprompt so clients can guide agents toward connect-first and WhatsApp-first behavior.
Local Development
If you'd like to run it locally from source:
- Clone the repository and
npm install npm run build- Link via absolute path instead of
npx.
License
This project is licensed under the ISC License.
Third-Party Licenses
This project utilizes the following open-source libraries:
- @modelcontextprotocol/sdk - MIT License
- @whiskeysockets/baileys - MIT License
- Other dependencies (express, pino, qrcode, etc.) are licensed under permissive licenses (MIT/BSD).
Discoverability keywords
- Human in the loop AI
- AI approvals
- Runtime approvals
- Agent notifications
- Agent approval workflow
- Cursor WhatsApp integration
- Claude WhatsApp integration
- Autonomous agents
- Cursor power users
- Remote workers
What problem does this solve?
- AI agents often get blocked waiting for approvals/questions when you step away from the IDE.
- WhatsApp MCP notifies you and collects confirmations from your phone so agents can continue safely.
Who it's for
- Cursor agent / Claude Desktop users
- Solo builders shipping agentic workflows
- DevOps & automation teams needing runtime approvals
Source: README.md at commit e8629a2
Tools
0Version history
1- v2.0.1LatestSep 16, 2026
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