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Use an MCP server in ChatGPT to organize shelves, track reading progress, and co-read each current page.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ss-reading-nest" yet — see the docs or source repo.
Please create a shelf named “AI Skill Learning” in ss-reading-nest, add the books “Prompt Engineering” and “LLM Fundamentals,” and return the shelf status.
Returns the created shelf and confirmation that both books were added, along with an updated reading list.
I am reading “Introduction to Cognitive Science.” Please update its progress to page 72 in ss-reading-nest, add a bookmark titled “Key Definition: Attention,” and save my reflection for this page.
Returns the updated reading progress, the new bookmark entry, and a saved reflection record for that page.
Use ss-reading-nest’s current-page co-reading mode to summarize page 120 of “The Design of Everyday Things” and generate three follow-up questions.
Returns a page summary and three follow-up questions to continue reading and reflection.
Students can separate textbooks and references into shelves, track each book’s current page and status, and quickly resume study before exams.
Researchers with many sources can categorize documents on shelves, log highlights and notes while reading, and avoid losing track of progress across projects.
Creators or office workers can read on mobile and keep bookmarks and highlights in secure cloud storage for private, cross-device continuation.
It is an MCP tool service that provides private, mobile-first reading in ChatGPT, supporting multi-book shelves, reading progress, highlights, notes, and bookmarks, with AI co-reading of the current page.
The provided materials do not include full setup steps. Usually MCP integration requires environment and authentication configuration; please refer to the source repository for exact instructions.
It is not only for bookmarks: it provides integrated shelf, progress, highlight, and thought management, plus AI co-reading on the current page, with private cloud storage.
Import novels or comics to co-read with AI, syncing progress and notes.
Read, edit, or delete specific Markdown sections without touching whole files.
Manage notes with natural-language CRUD actions through an MCP server.
Let AI read and write a self-hosted knowledge base with graph enrichment.
Local MCP server for utility tools, shared notes, and searchable knowledge
Manage a book library with natural language for search and CRUD tasks.