"Information about WeChat Mini Programs" matching MCP servers:

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 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 lets an LLM read and drive the macOS WeChat client through the Accessibility API, without reverse-engineering or injected code. It supports listing chats, opening conversations, reading messages, sending actions, and saving media locally.

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

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

A production-oriented MCP server that exposes task-level WeChat Desktop automation to AI clients, enabling status checks, message fetching/reply, contact addition, and Moment publishing on macOS via accessibility automation.

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.

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.

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.

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

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 lightweight MCP server for interacting with IMAP email accounts to read messages, manage folders, and compose draft replies. It supports standard providers and local bridges, providing tools for searching, fetching attachments, and organizing mailboxes without the ability to send or delete emails.

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 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 searching and validating n8n node schemas, and managing live n8n instances via its REST API, including workflows, executions, credentials, and webhook triggers.

Enables saving articles to WeChat Official Account drafts with support for rich text, automatic image upload, and Markdown rendering including Mermaid diagrams.

Enables management of WeChat Official Accounts by supporting draft creation, image uploads, and content publishing via the MCP protocol. It provides tools for interacting with the WeChat API, including secure token caching and draft list management.

Extracts title, author, and content (in Markdown format) from WeChat official account articles via URL, supporting both MCP stdio and HTTP server modes.