MCPWhatsApp

MCPWhatsApp

3.2

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WhatsApp MCP Assistant is a client-server application that uses Mistral's LLM and Twilio to send and schedule WhatsApp messages based on natural language input.

The WhatsApp MCP Assistant is designed to facilitate the sending and scheduling of WhatsApp messages through a client-server architecture. The server leverages Mistral's Language Model (LLM) to interpret user intents and convert them into actionable instructions, such as sending a message. The client provides a command-line interface (CLI) for users to input prompts in natural language, which the server processes. Twilio's API is used to handle the actual messaging tasks. A key feature of this system is its ability to dynamically route user intents to the appropriate tools, such as sending or scheduling messages. The system also addresses the 24-hour messaging window limitation imposed by WhatsApp through Twilio, requiring the use of pre-approved message templates for messages sent outside this window.

Features

  • Natural Language Processing: Uses Mistral's LLM to interpret user intents from natural language inputs.
  • WhatsApp Messaging: Integrates with Twilio's API to send and schedule WhatsApp messages.
  • Client-Server Architecture: Separates the user interface from the processing logic, allowing for scalable deployments.
  • 24-Hour Window Management: Handles WhatsApp's 24-hour messaging window limitation with message templates.
  • CLI Interface: Provides a simple command-line interface for user interaction.