Enables automation of WeChat on macOS through the Accessibility API, allowing LLMs to fetch recent messages from contacts and send replies based on conversation history.
Enables automated WeChat operations on Windows through pywinauto, allowing users to send messages to multiple friends or groups programmatically. Provides tools for searching contacts, sending bulk messages, and controlling WeChat interface elements via MCP protocol.
Local macOS MCP server for verified WeChat reading, sending, media, and token-efficient allowlisted monitoring. Its Docker image supports registry introspection only; real WeChat automation requires macOS Accessibility.
Enables AI assistants to send WeChat messages and take screenshots through ADB automation with LDPlayer emulator. Supports automated WeChat replies to multiple contacts with personalized messages for business and personal use.
Provides WeChat automation capabilities for AI development tools via the Model Context Protocol. It enables users to send messages, manage contacts, and handle file transfers through AI assistants like Claude and Cursor.