jj-cheng25/weixin-articles-mcp

What it does

This is an MCP (Model Context Protocol) server that enables AI assistants to read and extract content from WeChat (微信) Official Account articles. It provides native multimodal output including article body text, embedded images, and video keyframes extracted from multiple video sources including Tencent Video, native WeChat videos, and Cha video embeds.

How to set up

This tool is configured as an MCP server and can be integrated into compatible AI platforms. Installation typically involves: 1) Cloning the repository from jjcheng25/weixinarticlesmcp, 2) Installing Python dependencies, 3) Configuring the MCP server connection in your AI platform of choice, and 4) Testing the connection with sample WeChat article URLs.

Key features

• Extracts full article text and metadata from WeChat Official Accounts
• Multimodal content blocks including images and video keyframes
• Support for three video embed types: Tencent Video, WeChat native videos, and Cha videos
• Uses ytdlp for video keyframe extraction
• Cross-platform compatibility (Python, Cloud, macOS, Windows, Linux)
• Seamless integration with MCP-compatible AI assistants