"WeChat" matching MCP servers:

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

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

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.

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

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.

Enables chatting with an existing OpenAI dot from WeChat by bridging incoming text, images, and files to the dot and sending its replies back to the same conversation.

Enables agents to retrieve public WeChat Official Account articles as clean Markdown or JSON and parse saved WeChat HTML through MCP tools.

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.

Enables connecting a user's own WeChat to MCP-capable AI assistants for owner-only private messaging and media exchange, including receiving text, images, files, and upstream voice transcriptions, and sending replies, images, or files.

MCP server that enables AI agents to fetch and summarize WeChat public articles, supporting export to HTML, Markdown, Obsidian, Notion, and OneNote.

Enables fetching WeChat public account articles, caching them in SQLite, and reading them as paginated Markdown via MCP, with optional DeepSeek summarization and HTML/Markdown export.