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      Enables MCP-compatible AI clients to read WeChat Official Account articles directly by fetching and converting them into clean structured Markdown, including single and batch article retrieval.
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      MIT
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      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.
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      MIT
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      Enables AI agents to read WeChat Official Account articles by fetching mp.weixin.qq.com links from the user's own machine and network and converting them into clean Markdown with title, account, author, and publish-time metadata. Provides both single-article and batch-reading tools (up to 20 URLs) with optional image handling, character limits, and JSON output.
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      MIT
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      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.
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      MIT
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      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).
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      MIT