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Whats App Mcp Server

Whats App Mcp Server

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github.com/meharajMCommunication0Updated 19w ago

About Whats App Mcp Server

WhatsApp MCP is a server for AI agents that sends notifications and requests approvals through WhatsApp. Replies can pause an agent's task until a response arrives.

Key features

  1. 01Send WhatsApp notifications
  2. 02Wait for replies to approval questions
  3. 03Queue concurrent questions
  4. 04Retrieve incoming messages
  5. 05Check connection and authentication status
  6. 06Provide workflow instructions and a prompt

Use cases

  1. 01Approve a production deployment from a phone
  2. 02Respond to an agent's permission request while away
  3. 03Receive status alerts from an autonomous workflow

MCP support

The MCP server exposes WhatsApp connection, messaging, question, incoming-message, and status tools, plus workflow instructions and a prompt for MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"whatsapp-mcp-meharajm": {
"command": "npx",
"args": [
"-y",
"@mhrj/whatsapp-mcp"
],
"env": {
"WHATSAPP_TARGET_NUMBER": "<WHATSAPP_TARGET_NUMBER>",
"WHATSAPP_ALLOWED_NUMBERS": "<WHATSAPP_ALLOWED_NUMBERS>"
}
}
}
}
Run commandnpx -y @mhrj/whatsapp-mcp
Environment variables to set
WHATSAPP_TARGET_NUMBERTarget WhatsApp number (required)
WHATSAPP_ALLOWED_NUMBERSComma-separated JIDs to restrict who can control replies

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@mhrj/whatsapp-mcp2.0.1

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README
WhatsApp MCP Logo

WhatsApp MCP

Human-in-the-Loop for AI Agents via WhatsApp

npm version License: ISC MCP Smithery


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:

{
  "mcpServers": {
    "whatsapp-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@mhrj/whatsapp-mcp"
      ],
      "env": {
        "WHATSAPP_TARGET_NUMBER": "[email protected]"
      }
    }
  }
}

Note about Allowed Numbers: WHATSAPP_TARGET_NUMBER is 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 $PATH or env: node: No such file or directory: If your IDE/Agent complains it cannot find npx or node, it's because GUI apps (like Cursor) don't inherit your terminal's $PATH. To fix this, explicitly pass your PATH in the MCP env config.

      "env": {
        "PATH": "/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin",
        "WHATSAPP_TARGET_NUMBER": "[email protected]"
      }
Authentication (First time only)

The very first time you use the MCP server, it needs to authenticate with WhatsApp Web:

  1. Call the connect tool via your Agent, or just use any WhatsApp tool normally. If the session is not authenticated yet, the server will trigger authentication automatically.
  2. The tool result will return the QR code image directly in MCP content so modern clients can render it inline.
  3. If your client does not render inline images, the server also tries to write a local fallback HTML page under ~/.whatsapp-mcp/qr.html.
  4. Open WhatsApp on your phone -> Linked Devices -> Link a Device, and scan the QR.
  5. 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):

  1. 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.
  2. 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 .cursorrules file in your project root with this exact prompt:
# Human-in-the-Loop via WhatsApp
You are connected to the user via the `whatsapp-mcp` server. 
Whenever you are about to make significant/destructive changes, run a deployment, or whenever you need the user's permission/opinion to proceed with a plan, you MUST use the `ask_question` tool to ask the user on WhatsApp. 
DO NOT simply ask for confirmation in the IDE chat interface. You must wait for the `ask_question` tool to return the user's WhatsApp reply before proceeding with your task.

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 as connected, connecting, or qr_pending.
  • Server instructions + prompt: The server exports built-in workflow instructions and a whatsapp-autopilot prompt so clients can guide agents toward connect-first and WhatsApp-first behavior.

Local Development

If you'd like to run it locally from source:

  1. Clone the repository and npm install
  2. npm run build
  3. 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:


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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.