Chatterbox MCP Server

Overview

Chatterbox MCP Server is a dual‑component solution that bridges Model Context Protocol (MCP) clients—such as Claude or other AI assistants—with the WhatsApp Web ecosystem. The MCP side exposes a rich set of tools and resources that let an AI orchestrate conversations, send messages, or retrieve chat histories directly from WhatsApp. Behind the scenes a lightweight REST API handles all the Web‑socket interactions with the WhatsApp client, allowing developers to keep their AI logic separate from platform‑specific details.

The primary problem this server solves is the integration gap between conversational AI and real‑world messaging platforms. Many AI assistants can generate text, but they cannot natively push that text to WhatsApp without additional plumbing. Chatterbox MCP Server removes this barrier by packaging the necessary Web‑hooks and authentication into a standard MCP interface. Developers can now write a single AI prompt that calls a “sendMessage” tool, and the MCP server will translate that into an HTTP request to the WhatsApp REST API, which in turn talks to the WhatsApp Web session.

Key capabilities include:

• WhatsApp‑specific tools: send messages, read incoming chats, fetch contact lists, and manage group interactions—all exposed as MCP tools that AI clients can invoke with simple arguments.
• Secure authentication: both servers share a , ensuring that only authorized MCP clients can trigger WhatsApp actions.
• Headless or UI mode: the underlying WhatsApp service can run in headless mode for production deployments or with a visible browser window during debugging.
• Scalable architecture: the MCP server and WhatsApp REST API are decoupled, allowing each to be scaled or updated independently.

Typical use cases span customer support automation (where an AI can reply to user queries on WhatsApp), marketing campaigns that push updates or offers, and personal productivity tools that let an AI draft messages based on calendar events. In a workflow, an AI assistant receives a user request, calls the appropriate MCP tool (e.g., “sendMessage” with recipient and text), and the server handles QR‑code authentication, session persistence, and message delivery—all without exposing the AI to the complexities of WhatsApp Web.

What sets Chatterbox apart is its dual‑server architecture that cleanly separates protocol handling from platform integration. This design not only simplifies development—developers can work on the MCP side while another team focuses on WhatsApp compliance—but also enhances security and maintainability. By providing a ready‑made MCP toolset for WhatsApp, the server empowers developers to embed conversational AI into messaging workflows with minimal friction.