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

Enables movie/series recommendations via TMDB API and personal tracking of watchlist, watched history, and episodes in local SQLite.

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

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.

media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.

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

An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.

A local MCP service for safely preparing, validating, and executing multi-platform social media auto-publishing, with dry-run mode and real adapter for Douyin.

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.

Enables agent clients to index and organize local media libraries by recognizing codes from filenames, querying media, checking library quality, adding files, fetching metadata, and scanning directories, with deletion gated by verified magnet links.

MCP server exposing headless ffmpeg operations for video, audio, and image processing via auto-generated typed tools, enabling agentic media file manipulation.

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

MCP server for AI-driven social media automation, enabling campaign scheduling, content management, and TikTok posting through high-level tools.

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.

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.