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by freestylefly • Search & Retrieval
An open-source MCP server that exposes a user's WeRead (微信读书) bookshelf, notes, highlights and reviews to MCP-compatible LLM clients.
Access and list a user's WeRead bookshelf and basic metadata to recommend or reference owned books.
Search a user's WeRead library by keyword and return matched book entries with progress and details.
Fetch and present structured notes, chapter-organized highlights and top reviews from WeRead for downstream summarization or Q&A.
This project provides a Model Context Protocol (MCP) service for WeRead, allowing LLM clients (e.g., Cursor, Claude Desktop) to query a user’s bookshelf, search books, and fetch structured notes, chapter-organized highlights and popular reviews. It supports CookieCloud integration to keep WeRead cookies in sync and reduces the need for manual cookie updates. The tool is MIT-licensed, easy to run (npx or global install), and intended for personal/private integration with MCP-capable agents.
Get all books in the user's bookshelf with comprehensive statistics and categorization information
Search for books in the user's bookshelf by keywords and return matching books with details and reading progress
Get all highlights and notes for a specific book, organized by chapter
Get popular reviews for a specific book
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