"Using NotebookLM for deep research" matching MCP servers:

A production-ready, fully asynchronous MCP server that bridges AI agents with Google NotebookLM, enabling notebook creation, source management, audio generation, and more through natural language.

Enables AI agents to programmatically access Google NotebookLM through browser automation for managing notebooks, sources, and chat interactions. It supports automated content generation including audio overviews, study guides, and quizzes directly within AI workflows.

Production-grade Model Context Protocol server for Google NotebookLM that lets any MCP-capable client (Claude, ChatGPT, Cursor, etc.) interact with NotebookLM notebooks, sources, chats, and artifacts.

An MCP server that gives Claude (and any MCP-compatible agent) full access to Google NotebookLM — create notebooks, upload sources, ask questions, and generate audio overviews, quizzes, flashcards, mind maps, slide decks, videos, and reports.

Enables AI agents to search, read, and cite Chinese academic papers from CNKI using HUST single sign-on, with support for full-text retrieval, BibTeX export, and PDF download.

Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.

Automates the full academic research pipeline from refining research questions to generating publication-ready reports, integrating with major AI clients.

An MCP server that enables Claude to access paywalled scientific papers through your institutional login (Shibboleth/SAML SSO, EZProxy).

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

Enables local reading, searching, and scholarly study of the Bible through MCP tools, including passage lookup, literal search, topical research, word study, related-passage discovery, passage comparison, and corpus overviews.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables the generation of educational content such as multiple choice questions, lesson plans, and flashcards by connecting local Ollama models to Claude. It leverages the Educhain library to provide structured AI-powered learning tools through the Model Context Protocol.

Provides offline research and advanced search capabilities for Ellen Gould Harmon's writings via MCP and HTTP APIs, including PDF generation and Docker deployment.

Enables live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

MCP server exposing a university course catalog with tools for searching courses, looking up prerequisites and instructors, and generating prerequisite graphs, plus resources and a prompt template for AI academic advisors.

Enables querying Schoox LMS data (users, courses, enrollments, etc.) via natural language using AI assistants, without writing API code.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.