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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.

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📱 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.