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by pnizer • Messaging & Collaboration
A connector that exposes WhatsApp Web functionality over the Model Context Protocol (MCP) for AI-driven automation and agents.
Send and receive WhatsApp messages programmatically, including text and basic media, as part of an automated workflow.
Manage and query chats, contacts, and groups (create groups, add participants, retrieve message history) via an MCP-compatible interface.
Webhook-driven incoming message notifications or an API-backed MCP client to integrate WhatsApp with local AI tools like Claude Desktop.
WhatsApp Web MCP is a Node.js application that bridges WhatsApp Web with AI models using the Model Context Protocol, enabling programmatic message sending, contact and group management, media handling, and webhooks. It can run as a standalone MCP server, a WhatsApp REST API server, or an MCP client that talks to a local API server, providing flexible deployment modes (SSE or command). The project uses whatsapp-web.js under the hood and includes logging, authentication strategies, and integration examples (e.g., Claude Desktop). It is intended for testing and automation scenarios and explicitly notes it is not affiliated with WhatsApp.
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