Automates WeChat on macOS using Accessibility APIs and screen capture, focusing on Excel-driven contact requests, add-friend flows, and friend-request status checks for local outreach workflows.
A read-only MCP server that enables searching and extracting to-dos from local macOS WeChat chat databases. It decrypts and queries local WeChat data without sending messages or modifying databases.
Enables users to retrieve GitLab commit records and automatically generate daily work reports that can be sent to WeChat Work groups. Supports querying commits by date and user, with seamless enterprise messaging integration.
A WeChat robot server based on the Model Context Protocol that enables AI agents to send and receive messages and manage typing status. It provides tools for QR code login, long-polling message retrieval, and persistent state management across various MCP clients.
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 AI applications to send and read WeChat messages on Windows PCs through QR code authentication. Provides message polling, text sending, and session persistence for AI-powered chat interactions.
Provides AI clients read-only access to WeChat chat history by extracting and decrypting the local Mac database, enabling search, summary, and analysis of messages.
Enables AI assistants to send WeChat messages through automation, supporting both immediate and scheduled message delivery to contacts and groups using the Model Context Protocol standard.
A local-first MCP server that lets agents search and summarize a user's own WeChat history, with stable pagination, bulk chat workflows, unread/event queries, and gated enrichment tools.
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.