"WeChat – Messaging and Social Media App" matching MCP servers:

A Model Context Protocol (MCP) server for managing social media posts, currently supporting X (formerly Twitter).

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

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

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

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

Provides MCP tools for social media, including publishing posts and retrieving analytics via X (Twitter) API v2, with OAuth token management and rate-limit handling.

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

A local MCP adapter collection for social media channels, currently supporting Douyin with tools for channel startup, login assistance, messaging, and notifications.

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

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 users to retrieve GitLab commit records and automatically generate daily work reports that can be sent to WeChat Work groups. Supports querying commits by date and user, with seamless enterprise messaging integration.

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

Enables AI assistants to interact with Cisco Webex messaging through 52 comprehensive tools covering messages, rooms, teams, people management, webhooks, and enterprise features. Supports both personal and enterprise Webex environments with complete API coverage for messaging operations.

A production-oriented MCP server that exposes task-level WeChat Desktop automation to AI clients, enabling status checks, message fetching/reply, contact addition, and Moment publishing on macOS via accessibility automation.

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 generating, scheduling, and publishing social media posts via Claude or an agent through the MCP protocol.

Enables an AI agent to interact with your personal Telegram direct messages, allowing it to read unread messages, fetch chat history, and send replies.

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.