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

Access a 24/7 AI senior developer with 26 specialized tools for the full software development lifecycle. Use tools like explain_code, debug_code, and refactor_code to analyze, debug, and optimize your codebase instantly. Deploy github_fix_issue and create_pr for seamless GitHub automation, or get ai_development_advice for architecture and career guidance.

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.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

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.

An MCP server for sending and receiving WeChat messages, built on Tencent's iLink bot protocol.

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

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.

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

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.

Provides read-only EspoCRM access for AI assistants, enabling record retrieval and preparation of signed change sets without direct modification or deletion.

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 agents to search SEC filings, earnings transcripts, and EU regulations with ready-to-cite evidence, including exact passages and source links.

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

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 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.

A powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.