mcp-server-weread
WeChat Reading MCP Server provides Model Context Protocol services to integrate WeChat Reading data with large language models, enhancing data access and management for users. It supports features like bookshelf retrieval, book search, notes and highlight management, and popular review acquisition.
Overview
WeChat Reading MCP Server is a tool providing Model Context Protocol services for WeChat Reading. It supports providing books, notes, and highlights data from WeChat Reading to MCP-compatible large language model clients like Cursor and Claude Desktop.
Features
- Retrieve bookshelf information from WeChat Reading.
- Search for books within the bookshelf.
- Get notes and highlights from a book.
- Retrieve popular book reviews.
- Organize notes and highlights by chapter.
- Seamlessly integrate with MCP protocol-supported LLM clients.
Installation and Usage
Prerequisites
- Node.js 16.x or higher
- WeChat Reading account and valid Cookie
For detailed installation and integration instructions, see the provided tutorials.
Integration with Claude Desktop
Methods include using npx or global installation of the package.
CookieCloud Setup
Facilitates automatic synchronization and updating of Cookies, resolving the issue of frequent expiration.
Cookie Retrieval Method
Guidelines for obtaining Cookies from the WeChat Reading web version using Chrome developer tools.
Usage Examples
Illustrates dialogue interactions with LLM to manage bookshelf information, search specific books, and organize notes.