WhatsApp Cloud API MCP Server
Enables AI agents to send WhatsApp messages, templates, and retrieve media through the WhatsApp Cloud API. Provides webhook handling and seamless integration with Meta's WhatsApp Business platform.
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.md
4. Environment Variables
Required:
META_WHATSAPP_TOKEN=
META_WHATSAPP_PHONE_ID=
META_WHATSAPP_WABA_ID=
META_VERIFY_TOKEN=
PORT=4000
MCP_PORT=8000
Optional:
LOG_LEVEL=debug
5. WhatsApp Cloud API Endpoints to Support (v1.0)
The MCP server will call these official endpoints:
Send Text Message
POST /v18.0/{PHONE_ID}/messages
Send Template Message
POST /v18.0/{PHONE_ID}/messages
Get 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 install -
Configure Environment Copy
.env.exampleto.envand fill in your Meta WhatsApp API credentials.cp .env.example .env -
Run 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-mcp
Example 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: marcelo@marcelomarchetti.com
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.