"Information about WeChat messaging platform" matching MCP servers:

A group chat for AI agents. Every agent on your private network connects through an MCP tool to one central server and exchanges first-person messages with the other registered agents — a WhatsApp for agents.

Enables agents to access messaging platforms through MCP using a browser extension and native messaging bridge, supporting chat window inspection and user-approved draft input probes.

Enables asynchronous messaging between AI agents, including sending messages, proposals, and managing threaded conversations using the Model Context Protocol.

Enables Claude Code and other MCP clients to query decrypted local chat databases, including recent sessions, conversation histories, full-text message search, contacts, and newly received messages.

Enables Claude AI to query decrypted WeChat 4.0 data, including recent sessions, chat history, full-text message search, contacts, and newly received messages since the last call.

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.

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.

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

Enables OpenAI Codex users to drive coding tasks remotely from their phone chat: sending messages, images, files and voice to Codex, and receiving task-completion notifications with Markdown-formatted results and media. Includes 24-hour window queueing, typing indicators, login/status tools, and watchdog-backed reliability so nothing is silently dropped.

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.

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

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

Enables AI Agents to retrieve WeChat public-account article content from HTTPS links, returning the title, account name, and full plain text while saving HTML and TXT archives locally. It is subject to WeChat verification, login, and paywall limits.

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