"Information about WeChat" matching MCP servers:

MCP server for pushing scheduled or triggered messages to personal WeChat via ClawBot, using WorkBuddy connector and WeChat iLink API.

Enables AI assistants to control WeChat mini-programs running in WeChat Developer Tools through MCP tools. Provides automation capabilities for launching, navigating, querying, and interacting with pages and elements.

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.

Enables AI applications to manage WeChat Official Accounts through standardized tools for authentication, media uploads, draft creation, article publishing, and permanent material management.

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 MCP clients to control the Windows WeChat desktop app, including reading conversations, sending messages, searching contacts, and monitoring new messages via UI automation.

Enables macOS WeChat desktop clients to read conversations via OCR, retrieve encrypted session memory, and perform controlled message sending through MCP with dry-run and supervised safeguards.

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.

Bridges WeChat and Claude Code via MCP, enabling message sending, receiving, and automated processing through tools like wechat_poll and wechat_send.

MCP server for WeChat Mini Program debugging and automation, enabling agents to perform UI operations, screenshots, and regression testing through natural language commands.

MCP server that lets agents read and reply to WeChat messages, send text/media/files, and manage login via the official WeChat iLink Bot SDK.

Enables generation of professional diagrams and interactive prototypes from natural language descriptions using multiple AI models. Supports creating draw.io diagrams, HTML prototypes, and styled mobile app interfaces with Apple HIG and WeChat Mini Program design standards.

MCP server for governed AI content publishing to platforms like WeChat, Juejin, CSDN, and Zhihu, exposing tools for platform auth checks, content preflight, publish job lifecycle, verification, and liveness monitoring.

A server that connects Claude with Spotify, allowing users to control playback, search content, get information about tracks/albums/artists/playlists, and manage the Spotify queue.

Enables interaction with the Twitch API, allowing users to retrieve comprehensive information about channels, streams, games, and more, with additional support for searching and accessing chat elements like emotes and badges.

An MCP server that allows AI models to securely access and manage WeChat Cloud-based reservation data. It provides tools for querying records, updating appointment statuses, and deleting entries through the WeChat Cloud Development API.

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.

Enables AI assistants to automate WeChat Developer Tools for mini programs, allowing navigation, inspection, and manipulation of pages and components through the miniprogram-automator API.

An MCP server that translates human GUI actions into machine-executable commands, enabling AI agents to control real software applications like Zoom, Excel, and WeChat via natural language or API calls.

An unofficial experimental local MCP server that lets AI clients work with an already logged-in Windows Weixin desktop client, providing bounded conversation and message reads, group and message search, polling of up to 16 selected chats, guarded text and attachment submission, and image/file viewing handoffs. It also exposes hybrid Computer Use prompts for native mention handoffs, while remeasuring the window, DPI, and target controls on each action and failing closed when evidence is insufficient.