"WeChat" matching MCP servers:

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

Enables crawling WeChat Official Account articles via the mp.weixin.qq.com search interface, including account search, article listing, incremental crawling, and fetching articles as Markdown with local SQLite storage.

Enables searching WeChat official account articles through Sogou WeChat search and fetching full article content via MCP, with anti-scraping handling and paginated search support.

Enables agents to retrieve public WeChat Official Account articles as clean Markdown or JSON and parse saved WeChat HTML through MCP tools.

MCP server that enables AI agents to fetch and summarize WeChat public articles, supporting export to HTML, Markdown, Obsidian, Notion, and OneNote.

Enables fetching WeChat public account articles, caching them in SQLite, and reading them as paginated Markdown via MCP, with optional DeepSeek summarization and HTML/Markdown export.

Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.

Enables parsing and extracting content from WeChat public account articles using browser simulation, supporting multiple output formats (JSON, Markdown, HTML) and media resource extraction.

Parses WeChat public account articles to extract metadata, content, and generate AI-powered summaries with semantic analysis, viewpoint extraction, and structure analysis capabilities.

Extracts title, author, and content (in Markdown format) from WeChat official account articles via URL, supporting both MCP stdio and HTTP server modes.

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.

Enables fetching, searching, and summarizing WeChat public account articles through browser automation. Supports multiple output formats and provides article metadata and statistics.

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).

A local content summarization service that allows AI agents to fetch web pages, WeChat articles, and Bilibili videos, transcribe if needed, and generate Markdown summaries via MCP.

Enables AI coding assistants to debug and analyze WeChat MiniApp JavaScript code via Chrome DevTools Protocol. Supports network interception, breakpoint debugging, script analysis, and runtime inspection for reverse engineering purposes.

Converts Markdown content into beautifully designed knowledge cards with customizable styles and sizes. Also supports fetching and converting WeChat public account articles to Markdown.

Provides a unified MCP interface to 91 RedFox agent tools for social media analytics, content creation, and video downloading across platforms like Douyin, Xiaohongshu, WeChat, and Bilibili. Works with any MCP-compatible client via stdio or remote deployment, requiring only a RedFox API key.

A scalable MCP server for searching multiple platforms (WeChat, Zhihu, Google) with async API, content fetching, compression, and real URL resolution.

MCP server to crawl WeChat articles, download images, and convert to Markdown, designed for Cursor IDE and AI tools.

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.