"WeChat" matching MCP servers:

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

Enables publishing HTML articles and image messages to WeChat Official Account drafts via LLM tool calls, with automatic image upload and URL replacement.

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.

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.

Exposes Windows WeChat desktop client automation as MCP tools, letting AI agents check connection status, list chats, read buffered messages, and send text or files to explicitly specified contacts or groups. Includes safety controls such as target disambiguation, file directory whitelists, optional send confirmation, and operation auditing.

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

A Chinese-friendly, locally running MCP server for WeChat Mini Program engineering, helping developers break down ideas into actionable tasks, inspect projects, generate blueprints, and perform security scans.

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 management of WeChat Official Account content, including creating, publishing, and deleting drafts and materials, through MCP tools.

Enables automated testing of WeChat mini-programs via Model Context Protocol, providing tools for connecting to WeChat Developer Tools, querying and interacting with page elements, making assertions, navigating, and debugging.

Enables AI assistants to query real-time hot lists, WeChat articles, and Xiaohongshu notes without API keys, and to extract or inline Word .docx comments.

Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).

TrendRadar aggregates hot news from multiple platforms and provides AI-powered trend analysis via the Model Context Protocol. It enables users to filter for relevant information and receive automated updates across various notification channels like Telegram, Slack, and WeChat.

Enables MCP clients to access WeChat Reading data and actions, including book search, book details, reading progress, highlights, reviews, and reading statistics, via a URL-based SSE or Streamable HTTP server.

Enables AI agents to send messages, query contacts, and manage message history for WeCom (WeChat Work) self-built applications via the Model Context Protocol.

A real-time hotspot monitoring and news aggregation assistant that provides AI-powered analysis of trending topics across multiple platforms via the Model Context Protocol. It enables users to track news and receive automated notifications through various services like Telegram, WeChat, and Slack.