WSAPI Chat
Enables large language models to seamlessly access comprehensive WhatsApp functionality via the WSAPI service.
About
The WSAPI Chat Model Context Protocol (MCP) server acts as a powerful bridge, connecting large language models (LLMs) and AI assistants directly to the vast capabilities of WhatsApp through the WSAPI service. It provides a rich set of tools for AI to interact with WhatsApp, facilitating everything from sending diverse message types (text, media, location, stickers) and managing conversations (editing, deleting, replying) to handling contacts, groups, and overall chat operations. This server empowers AI-driven applications to perform a wide array of WhatsApp actions, making it an essential component for intelligent communication solutions.
Key Features
- Core Messaging: Send diverse message types including text, media, documents, stickers, location, and contacts with advanced options like mentions and replies.
- Message Management: Edit, delete, star, mark as read, and reply to messages to maintain organized conversations.
- Contact Management: Programmatically list, retrieve, create, update, and monitor the presence of WhatsApp contacts.
- Group Management: Create new groups, manage participants, update group settings, and generate invite links.
- Session & Account Control: Monitor connection status, generate QR codes or pair codes for login, manage instances, and update account profile information.
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Use Cases
- Equipping AI assistants with the capability to send, receive, and manage WhatsApp messages and interactions autonomously.
- Integrating comprehensive WhatsApp communication features into AI-driven automation, customer service, or social media management solutions.
- Allowing large language models to control WhatsApp contacts, groups, and chat settings programmatically for automated communication workflows.
