Enables reading and extracting content from WeChat public account articles using browser automation, allowing AI models to analyze and summarize WeChat articles through natural language requests.
Parses WeChat public account articles to extract metadata, content, and generate AI-powered summaries with semantic analysis, viewpoint extraction, and structure analysis capabilities.
Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).
Enables fetching, searching, and summarizing WeChat public account articles through browser automation. Supports multiple output formats and provides article metadata and statistics.
Enables parsing and extracting content from WeChat public account articles using browser simulation, supporting multiple output formats (JSON, Markdown, HTML) and media resource extraction.
Enables AI agents to crawl, access, and analyze WeChat Official Account articles using Selenium and the Model Context Protocol. It provides specialized tools for dynamic content retrieval, image processing, and automated article analysis.