Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Query Google NotebookLM from Claude/AI agents with 14 security hardening layers. Session-based conversations, notebook library management, and source-grounded research responses.
Research workspace MCP integrating Zotero, Obsidian, and NotebookLM. Search papers (arXiv/Semantic Scholar/PubMed/CrossRef), ingest into Zotero, sync notes to Obsidian, verify NotebookLM briefs. All three external tools optional. pip install research-hub-pipeline then research-hub serve.