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Turn raw book notes into structured, searchable knowledge with semantic retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "book-notes-mcp" yet — see the docs or source repo.
Process this batch of raw book notes into a structured knowledge base. Organize them by topic, key ideas, source citations, and keywords, and build a semantic search index.
A structured set of notes grouped by topic, plus a knowledge index that supports similarity-based retrieval.
Using the existing book-notes knowledge base, search for ideas related to 'long-termism' and return the most relevant note excerpts, source books, and nearby concepts.
Relevant note excerpts with sources and related themes for deeper follow-up research.
Extract all book notes about 'decision-making methods' from the knowledge base and compile them into a structured overview with key ideas, representative examples, and actionable suggestions.
A structured thematic summary that combines relevant content across books for review and writing.
Create, organize, and analyze notes with tags and AI-assisted brainstorming.
Let AI create, edit, search Markdown notes, and detect conflicts via MCP.
Manage notes with CRUD, tags, and search through an MCP server.
Take notes and generate quick summaries from prompts.
Store, search, and query meeting notes with semantic RAG.
Retrieve, organize, and write atomic learning notes in an Obsidian vault.