"WeChat" matching MCP servers:

Enables users to retrieve GitLab commit records and automatically generate daily work reports that can be sent to WeChat Work groups. Supports querying commits by date and user, with seamless enterprise messaging integration.

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.

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

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 applications to manage WeChat Official Accounts through standardized tools for authentication, media uploads, draft creation, article publishing, and permanent material management.

Enables management of WeChat Official Accounts by supporting draft creation, image uploads, and content publishing via the MCP protocol. It provides tools for interacting with the WeChat API, including secure token caching and draft list management.

Enables management of WeChat Official Account content, including creating, publishing, and deleting drafts and materials, through MCP tools.

AI-powered content automation MCP server that enables researching topics, generating articles, formatting WeChat HTML, creating covers, and publishing drafts to WeChat Official Accounts.

Enables AI assistants to query real-time hot lists, WeChat articles, and Xiaohongshu notes without API keys, and to extract or inline Word .docx comments.

Enables MCP clients to access WeChat Reading data and actions, including book search, book details, reading progress, highlights, reviews, and reading statistics, via a URL-based SSE or Streamable HTTP server.

A real-time hotspot monitoring and news aggregation assistant that provides AI-powered analysis of trending topics across multiple platforms via the Model Context Protocol. It enables users to track news and receive automated notifications through various services like Telegram, WeChat, and Slack.

Enables real-time trending news aggregation from multiple sources, with AI-powered analysis, smart filtering, and multi-channel notifications (e.g., Telegram, WeChat, email) via MCP.

An AI-powered news and trend aggregator that tracks real-time hot topics and RSS feeds with personalized filtering and summaries. It enables users to monitor global trends and receive automated reports across multiple platforms including WeChat, Telegram, and Slack.

A lightweight bridge server that connects WeChat Reading (WeRead) data with Claude Desktop, allowing seamless access to reading notes and book collections through natural language interactions.

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.

Enables AI assistants to query nearby parties, retrieve party details, and generate WeChat mini-program share links for the '螺母车尾派对' app.

Bridges AI writing and content platforms by enabling AI agents to format Markdown and publish posts directly to WeChat Official Accounts with automatic image handling. It supports conversational theme management and streamlined drafting to eliminate the need for manual copy-pasting between editors.

A server that enables web searches using different providers (currently Bing) and converts URL content to Markdown, with support for retrieving WeChat official account articles.

Unifies inventory data from four sources (Jikeyun, Supor factory, WeChat Excel, RPA) with timestamps, and exposes MCP tools for AI agents to query stock levels.