@iflow-mcp/mmarqueti-whatsapp-mcp
v1.0.6
Published
WhatsApp Cloud API MCP Server
Readme
WhatsApp Cloud API MCP Server – Spec v1.0
Overview
This project defines version 1.0 of an MCP Server that exposes the WhatsApp Cloud API to LLM agents through standardized MCP tools.
Goal: Provide a minimal, clean, production-ready baseline so developers can use WhatsApp messaging inside AI agents with zero complexity.
1. Objectives
- Create a lightweight MCP server (TypeScript + Node.js).
- Expose WhatsApp Cloud API functionalities as tools.
- Provide helpers for webhook verification.
- Be deployable with a single command (Docker + local dev).
2. Tech Stack
- Node.js 20+
- TypeScript
- Express (or Fastify) for HTTP + webhooks
- MCP Server SDK
- Axios for outbound WhatsApp API requests
- WebSocket for MCP transport (mandatory)
- Dotenv for configs
- Pino or console logging
3. Project Structure (v1.0)
/src
/mcp
server.ts
/whatsapp
client.ts
webhook.ts
/config
env.ts
index.ts
.env.example
mcp.json
package.json
README.md4. Environment Variables
Required:
META_WHATSAPP_TOKEN=
META_WHATSAPP_PHONE_ID=
META_WHATSAPP_WABA_ID=
META_VERIFY_TOKEN=
PORT=4000
MCP_PORT=8000Optional:
LOG_LEVEL=debug5. WhatsApp Cloud API Endpoints to Support (v1.0)
The MCP server will call these official endpoints:
Send Text Message
POST /v18.0/{PHONE_ID}/messagesSend Template Message
POST /v18.0/{PHONE_ID}/messagesGet Media URL
GET /v18.0/{MEDIA_ID}Download Media
GET {MEDIA_URL}Health Check
GET /v18.0/{PHONE_ID}6. Webhook Handling
Expose:
GET /webhook (verification)Features:
- Validate
hub.verify_token
7. MCP Tools (v1.0)
Tools exposed to agents:
1. send_text_message
Send a simple text message to a WhatsApp user.
Params:
{
"to": "string",
"text": "string"
}2. send_template_message
Send a WhatsApp template message.
Params:
{
"to": "string",
"template_name": "string",
"language": "string",
"components": []
}3. get_media
Retrieve a media file by MEDIA_ID.
Params:
{
"media_id": "string"
}4. health_check
Verify connectivity with WhatsApp Cloud API.
8. Security
- Validate Meta webhook signature (optional v1).
- Restrict MCP tool usage to authenticated WebSocket clients.
- Sanitize user inputs.
- Never log tokens.
9. Documentation Requirements
Setup Instructions
Install Dependencies
npm installConfigure Environment Copy
.env.exampleto.envand fill in your Meta WhatsApp API credentials.cp .env.example .envRun Locally
npm run devServer will start on port 4000 (HTTP) and expose MCP on WebSocket.
Configure Webhook
- Expose your local server using ngrok or similar:
ngrok http 4000 - In Meta App Dashboard, set Webhook URL to
https://<your-ngrok-url>/webhook - Set Verify Token to match
META_VERIFY_TOKENin.env
- Expose your local server using ngrok or similar:
Docker Usage
docker build -t whatsapp-mcp .
docker run -p 4000:4000 --env-file .env whatsapp-mcpExample Usage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"whatsapp": {
"command": "docker",
"args": ["run", "-i", "--rm", "--env-file", "/path/to/.env", "whatsapp-mcp"]
}
}
}(Note: For local dev without docker, point to the build output)
10. Contact
For any inquiries or similar projects, please contact: [email protected]
