MCP server for processing raw book notes into structured, searchable knowledge using embeddings and semantic search.
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process.env. You'll be asked to provide them before it can run.LLM_MODEL— gemini/gemini-2.5-flashEMBEDDING_MODEL— gemini/text-embedding-004VECTOR_DIM— If you change embedding dimensions, update both the schema andNOTES_DIRGOOGLE_EMAIL— your google account email>GOOGLE_APP_PASSWORD— 16-character app password>KEEP_LABEL— 4. Optionally set if you do not want to use the default book-noteKEEP_SYNC_INTERVAL_MINUTESGEMINI_API_KEY[](https://m8ven.ai/mcp/ayush1298-book-notes-mcp-1kr8mx)