📱 WhatsApp MCP Server

Created By

Mtumish17 months ago

This server bridges WhatsApp messages with large language models, allowing for intelligent summarization, response generation, scheduling, and personal assistant tasks using the MCP specification.

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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.

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