WhatsApp MCP Server
by Mtumish1
A Model Context Protocol (MCP) server that integrates WhatsApp into AI agent workflows, enabling agents to read, respond, and act on WhatsApp conversations securely and contextually. It acts as a bridge between WhatsApp and a Large Language Model (LLM) agent.
Last updated: N/A
📱 WhatsApp MCP Server
A Model Context Protocol (MCP) server that integrates WhatsApp into AI agent workflows — enabling agents to read, respond, and act on WhatsApp conversations securely and contextually.
This server acts as a bridge between WhatsApp and a Large Language Model (LLM) agent via the Model Context Protocol, allowing WhatsApp chats to become part of agentic automation systems, whether for personal assistants, business bots, or multi-channel communication tools.
🚀 Why This Exists
AI agents are only as useful as the tools they can access. WhatsApp is one of the most widely used communication platforms in the world — and now, with this MCP server, it can become a powerful part of your agentic stack.
This project allows LLMs (like Claude, GPT-4, or open-source models) to:
- Retrieve recent WhatsApp messages in a structured context
- Understand and summarize chats
- Generate draft replies
- Act based on WhatsApp communication triggers
🧠 What Is Model Context Protocol?
Model Context Protocol (MCP) is a specification for safely connecting LLMs to tools and external data sources. Instead of giving a model full API access, MCP provides structured, explainable context about a system and accepts natural language actions to act on it — with a human-readable audit trail.
Learn more: modelcontextprotocol.io
📦 Features
- ✅ Secure WhatsApp chat ingestion via WhatsApp Business API or local bridge
- 🧠 JSON-based context delivery for LLMs
- ✍️ Action endpoint for generating suggested replies or initiating workflows
- 🧩 Compatible with MCP clients and orchestration frameworks
- 🔒 Focus on user privacy and scoped data access
⚙️ Architecture
⚠️ Work in Progress
This project is under active development. It's a first step toward agentic access to real-world communication tools via WhatsApp.
I welcome contributions of all kinds — from code to ideas to testing. The best work belongs in open source.