Co-Reading MCP
Related Servers
Alternatives to Co-Reading MCP
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceA local MCP server that lets LLM agents read EPUB books and PDF documents with outline-first navigation, precise node reads, and local SQLite persistence.292MIT
- FlicenseAqualityBmaintenanceA local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.12-
- FlicenseAqualityCmaintenanceAn MCP server that exposes a fully offline RAG library of books (PDFs, EPUBs, markdown, text) to Claude, enabling hybrid search and retrieval of contextualized chunks via read-only tools.5-
- AlicenseAqualityDmaintenanceAn MCP server that splits PDFs by chapters/sections and reads them in Claude-friendly chunks. Enables structured reading of large PDF documents.66 npmMIT
- FlicenseNot gradedqualityBmaintenanceA remote MCP server that gives Claude (and ChatGPT/Gemini) persistent read/write access to your own memory: books, games, projects, notes, and freeform facts.-
- AlicenseNot gradedqualityBmaintenanceAn MCP server that enables a private mobile-first reading experience in ChatGPT, managing multi-book shelves, reading progress, highlights, thoughts, and bookmarks, with secure cloud storage and AI co-reading of the current page.19MIT
TDQS
Scored across 26 tools
Each tool has a clear and distinct purpose, targeting specific actions like annotating, collecting, reading, importing, or listing resources. There is no ambiguity or overlap between tools.
All tools follow a consistent 'reading_verb_noun' pattern, using snake_case and imperative verbs, making the naming predictable and easy to understand.
With 26 tools, the count is slightly above the ideal range, but it is justified by the comprehensive scope covering import, reading, annotation, cards, and submissions. Each tool appears necessary for the full feature set.
The tool surface covers the main lifecycle of reading and annotation, including import, chunk reading, annotations, cards, and submissions. Minor gaps like update/delete operations for annotations exist, but core workflows are well-supported.