A Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol, enabling automated messaging, contact management, and group chat functionality through AI-driven workflows.
Enables sending iMessages or SMS messages via the macOS Messages app using osascript. No Full Disk Access required, and never reads your message history.
MCP server that gives AI agents read and write access to WhatsApp on macOS, reading local chat history offline and sending messages via pre-filled drafts with explicit user confirmation.
Enables Claude Code to interact with WhatsApp for reading messages, sending replies, and searching contacts through the Model Context Protocol. It uses whatsapp-web.js to facilitate local connection management with QR code authentication and session persistence.
Enables sending, reading, and deleting WhatsApp messages through Claude Desktop and other MCP clients with granular per-chat permissions. Built on whatsapp-web.js using a headless browser to automate WhatsApp Web.
MCP server that controls WhatsApp Desktop via Chrome DevTools Protocol using the user's real session, enabling tools to list chats, read messages, search contacts, and send messages with simulated typing and rate limiting.
