"How to Use the WeChat Developer Assistant" matching MCP servers:

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.

Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.

Enables AI agents to control WeChat through MCP protocol, including sending messages, managing contacts, and searching messages.

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.

Launches multiple Browser-Use agents to automatically test websites for UI bugs, broken links, accessibility issues, and other technical problems on both live and localhost sites.

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 AI to import, format, check originality, and save articles as drafts to WeChat Official Account draft box, without auto-publishing.

MCP server for reading WeChat public account articles by reusing authenticated browser sessions, handling captchas and rate limits.

Enables AI clients to observe WeChat conversations on macOS via local screen capture and Apple Vision OCR, and to preview draft replies without sending messages.

Enables crawling WeChat Official Account articles via the mp.weixin.qq.com search interface, including account search, article listing, incremental crawling, and fetching articles as Markdown with local SQLite storage.

Enables Claude Code to read encrypted WeChat chat history from local database, search messages, view sessions and contacts.

Enables MCP clients like WorkBuddy to connect to the WeChat Official Account API, supporting connection checks, article bundle validation, image uploads, and draft creation and querying, while leaving publishing to the author.

Wraps the WeChat DevTools CLI as an MCP service, enabling AI in editors to call WeChat CLI commands for mini-program development, testing, debugging, and automation.

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 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.

MCP server for reading local WeChat data, enabling AI assistants to query chat history, contacts, sessions, and more via MCP tools.

Enables DeepSeek Harness to run bounded archive operations—diagnose, status, sync, and verify—against a local macOS chat database with integrity and privacy protections.

Connects WeChat Mini Program tooling to MCP and automation workflows. Provides scripts for opening, previewing, and uploading projects, as well as automator smoke tests.

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.