Claude Skill: Multi-source content processor for NotebookLM. Supports WeChat articles, web pages, YouTube, PDF, Markdown, search queries → Podcast/PPT/MindMap/Quiz etc.
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Updated
Apr 28, 2026 - Python
Claude Skill: Multi-source content processor for NotebookLM. Supports WeChat articles, web pages, YouTube, PDF, Markdown, search queries → Podcast/PPT/MindMap/Quiz etc.
Google NotebookLM over MCP + a local HTTP REST API. Citation-backed Q&A, audio/video/content generation, multi-account rotation. For Claude Code, Codex, Cursor, n8n, Zapier, Make.
Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files
Secure NotebookLM MCP Server - Query Google NotebookLM from Claude/AI agents with 17 security hardening layers
Lightweight Python Notebook MCP - Enable AI assistants to create, edit, and view Jupyter notebooks via Model Context Protocol
Bridge Google NotebookLM with Claude via MCP. Full programmatic access to create notebooks, manage sources, and generate AI-powered content — podcasts, videos, slides, mind maps, quizzes, flashcards, and reports — all through natural language.
Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
MCP server for Google NotebookLM — 32 tools for notebooks, sources, research, and studio content generation
MCP server for querying Google NotebookLM notebooks. Works with Claude Code, Claude Desktop, Cursor, and VS Code.
A notebook app built with Rust + Flutter and AI tech stacks. Support semantic search, mcp, importing webpages and more.
chm to markdown and vectorDB
Nanoservices for notebooks.
MCP server to let claude connect to my obsidian notes for vector and full text search
Model Context Protocol (MCP) server for Databricks that empowers AI agents to autonomously interact with Unity Catalog metadata. Enables data discovery, lineage analysis, and intelligent SQL execution. Agents explore catalogs/schemas/tables, understand relationships, discover notebooks/jobs, and execute queries - greatly reducing ad-hoc query time.
A Model Context Protocol (MCP) server that provides AI assistants with access to Microsoft OneNote. This server enables AI models to read from and write to OneNote notebooks, sections, and pages.
Seamlessly integrate NotebookLM with your AI agent using the Model Context Protocol (MCP). Includes detailed setup, authentication guides, and automated installation skills
PyWry is a cross-platform app factory, rendering engine and UI toolkit for Python that produces native desktop, web, and notebook experiences from a single API.
7 Claude Code slash commands + automation for Google NotebookLM. Built on notebooklm-mcp-cli. Tested on 41K-message Telegram forums, YouTube research, auto-doc notebooks for 30+ frameworks.
Repository containing practical exercises and notebooks focused on AI application development and experimentation.
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