Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

WhatsApp Claude

БесплатноНе проверен

Enables WhatsApp bots to process incoming messages through Claude AI, supporting conversational memory and extensible MCP tools for tasks like fetching jokes fr

GitHubEmbed

Описание

Enables WhatsApp bots to process incoming messages through Claude AI, supporting conversational memory and extensible MCP tools for tasks like fetching jokes from external APIs.

README

A powerful WhatsApp bot integrated with Claude AI using the Model Context Protocol (MCP). Send messages to your WhatsApp bot and get intelligent responses powered by Claude, with access to external APIs and tools.

🌟 Features

  • Claude AI Integration: Uses Claude 3.5 Sonnet for intelligent conversations
  • MCP Tools: Extensible tool system for Claude to interact with external APIs
  • Joke Generator: Built-in tool that fetches random jokes from external API
  • Conversation Memory: Maintains context across multiple messages per user
  • WhatsApp Webhook: Simple REST API for integrating with WhatsApp services
  • Easy Deployment: Works with express server, ready for cloud deployment

📋 Prerequisites

  • Node.js 18+
  • npm or yarn
  • Anthropic API Key (get from console.anthropic.com)
  • WhatsApp Cloud API access (for production integration)

🚀 Quick Start

1. Clone and Install

git clone https://github.com/yulianheroes-lgtm/whatsapp-claude-mcp.git
cd whatsapp-claude-mcp
npm install

2. Set Environment Variables

cp .env.example .env

Edit .env and add your Anthropic API key:

ANTHROPIC_API_KEY=your_anthropic_api_key_here
PORT=3000

3. Start the Server

npm start

You should see:

✅ WhatsApp Claude MCP Server running on http://localhost:3000
🤖 Ready to process WhatsApp messages!

📡 API Usage

Health Check

curl http://localhost:3000/health

Send Message to Claude

curl -X POST http://localhost:3000/webhook/whatsapp \
  -H "Content-Type: application/json" \
  -d '{
    "userId": "1234567890",
    "message": "Tell me a joke"
  }'

Response:

{
  "success": true,
  "userId": "1234567890",
  "message": "😂 Here's a programming joke for you!\n\nWhy do programmers prefer dark mode?\n\nBecause light attracts bugs! 🐛"
}

Clear Conversation History

curl -X POST http://localhost:3000/webhook/clear-history \
  -H "Content-Type: application/json" \
  -d '{
    "userId": "1234567890"
  }'

🛠️ Available Tools

Joke Generator

Claude can automatically use this tool when appropriate:

  • Trigger: When user asks for jokes
  • Types: random, programming, general
  • API: Official Joke API

Example interaction:

User: Tell me a funny programming joke
Bot: [Uses joke_generator tool] 😂 Here's a programming joke...

📁 Project Structure

whatsapp-claude-mcp/
├── src/
│   ├── index.js              # Main Express server
│   ├── whatsapp-handler.js   # Message handling & Claude integration
│   ├── mcp-server.js         # MCP tool definitions & execution
│   └── tools/
│       └── joke-generator.js # Joke generator tool implementation
├── .env.example              # Environment variables template
├── .gitignore               # Git ignore rules
├── package.json             # Dependencies
└── README.md                # This file

🔌 Integration with WhatsApp

Option 1: WhatsApp Cloud API

For production, integrate with WhatsApp Cloud API:

  1. Set up webhook on Meta Business Platform
  2. Point webhook URL to: https://your-domain.com/webhook/whatsapp
  3. When WhatsApp sends messages, forward them to this endpoint

Option 2: Local Testing

Use tools like curl, Postman, or a test script to send messages:

// test.js
const userId = '1234567890';
const message = 'Tell me a joke';

const response = await fetch('http://localhost:3000/webhook/whatsapp', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({ userId, message })
});

const result = await response.json();
console.log(result.message);

🧠 How It Works

  1. Message Received → WhatsApp webhook receives a message
  2. Claude Processing → Message sent to Claude with available tools
  3. Tool Selection → Claude decides if tools are needed
  4. Tool Execution → MCP server executes tools (e.g., fetch jokes)
  5. Response Generation → Claude generates response using tool results
  6. Message Sent → Response sent back via WhatsApp

🚀 Adding More Tools

To add a new tool (e.g., weather, translations):

1. Create Tool File

// src/tools/weather.js
export const weatherTool = {
  name: 'get_weather',
  description: 'Get current weather for a location',
  inputSchema: {
    type: 'object',
    properties: {
      location: { type: 'string', description: 'City name' }
    }
  }
};

export async function executeWeather(location) {
  // Fetch weather data
  return { /* weather data */ };
}

2. Register in MCP Server

// src/mcp-server.js
import { weatherTool, executeWeather } from './tools/weather.js';

export class MCPServer {
  constructor() {
    this.tools = [
      jokeGeneratorTool,
      weatherTool  // Add here
    ];
  }

  async processTool(toolName, toolInput) {
    switch (toolName) {
      case 'get_weather':
        return await executeWeather(toolInput.location);
      // ...
    }
  }
}

📚 API Reference

POST /webhook/whatsapp

Request Body:

{
  "userId": "string (required)",
  "message": "string (required)"
}

Response:

{
  "success": boolean,
  "userId": "string",
  "message": "string"
}

POST /webhook/clear-history

Request Body:

{
  "userId": "string (required)"
}

Response:

{
  "success": boolean,
  "message": "string"
}

🔐 Security Considerations

  • API Keys: Never commit .env file to version control
  • Rate Limiting: Consider adding rate limiting for production
  • Input Validation: Always validate webhook payloads
  • HTTPS: Use HTTPS in production
  • Authentication: Add webhook signature verification for WhatsApp integration

📝 Environment Variables

Variable Description Example
ANTHROPIC_API_KEY Claude API key sk-ant-...
PORT Server port 3000
NODE_ENV Environment development
JOKE_API_URL Joke API endpoint https://official-joke-api.appspot.com/random_joke

🤝 Contributing

Feel free to fork, modify, and contribute back!

📄 License

MIT License - see LICENSE file for details

🆘 Troubleshooting

"API key not found"

"Tool execution failed"

  • Check external APIs are accessible
  • Verify network connectivity
  • Review error logs in console output

"No response from Claude"

  • Check ANTHROPIC_API_KEY is correct
  • Ensure Claude model is available
  • Check API rate limits

📞 Support

For issues or questions:

  1. Check the troubleshooting section
  2. Review Claude API documentation
  3. Open an issue on GitHub

🎯 Future Enhancements

  • Support for image/media in WhatsApp messages
  • Additional tools (weather, news, translations)
  • Database for persistent conversation history
  • Rate limiting and authentication
  • Admin dashboard for monitoring
  • Multi-language support
  • Custom Claude system prompts per user

Made with ❤️ by yulianheroes-lgtm

from github.com/yulianheroes-lgtm/whatsapp-claude-mcp

Установка WhatsApp Claude

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/yulianheroes-lgtm/whatsapp-claude-mcp

FAQ

WhatsApp Claude MCP бесплатный?

Да, WhatsApp Claude MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для WhatsApp Claude?

Нет, WhatsApp Claude работает без API-ключей и переменных окружения.

WhatsApp Claude — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить WhatsApp Claude в Claude Desktop, Claude Code или Cursor?

Открой WhatsApp Claude на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare WhatsApp Claude with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai