# NotebookLM MCP server

Google NotebookLM via natural language: create notebooks, add sources (PDF, URL, YouTube) and ask gr

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-mcp-dir-notebooklm-mcp
- Repository: https://github.com/mcp-dir/notebooklm-mcp

## Install
- Endpoint: https://api.mcp.ai/p_notebooklm
- Auth: Not captured

## Setup notes
- Remote endpoint: https://api.mcp.ai/p_notebooklm

## Tools
- notebooklm_list - Lista os notebooks do usuário. Retorna [{ id, title, ... }] — use o `id` nas demais tools. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_notebook_create - Cria um notebook novo (vazio). Retorna o notebook com seu `id`. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_notebook_rename - Renomeia um notebook.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_notebook_delete - Apaga um notebook (irreversível).

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_notebook_summary - Resumo do notebook com insights gerados por IA. `topics:true` inclui tópicos sugeridos.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_notebook_metadata - Metadados do notebook + lista de fontes.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_ask - Pergunta ao notebook; resposta FUNDAMENTADA nas fontes, com citações. Pode demorar.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_history - Histórico de Q&A da conversa do notebook.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_add - Adiciona uma fonte ao notebook: URL (página/YouTube) ou texto. `type` é auto-detectado; use `type:"text"` + `title` para colar texto.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_list - Lista as fontes do notebook. Retorna [{ id, title, ... }].

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_get - Detalhes de uma fonte.

Bulk support: accepts notebook_ids, source_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_fulltext - Texto completo indexado de uma fonte.

Bulk support: accepts notebook_ids, source_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_guide - Resumo + palavras-chave de uma fonte (gerado por IA).

Bulk support: accepts notebook_ids, source_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_rename - Renomeia uma fonte.

Bulk support: accepts notebook_ids, source_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_refresh - Reprocessa uma fonte de URL/Drive (re-indexa o conteúdo atual).

Bulk support: accepts notebook_ids, source_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_delete - Remove uma fonte do notebook.

Bulk support: accepts notebook_ids, source_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_source_add_research - Pesquisa na web (ou Drive) e adiciona fontes a partir dos resultados.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_generate - Gera um artifact do notebook (assíncrono — retorna o artifact em geração). `kind`: audio (podcast), video, cinematic_video, slide_deck, report, mind_map, quiz, flashcards, infographic, data_table. `instructions` = foco/estilo. `options` = flags específicas do tipo (ex.: audio {format:deep-dive|brief|critique|debate, length:short|default|long}; video/cinematic_video {format:explainer|brief|cinematic, style:...}; slide_deck {format:detailed|presenter, length}; report {format:briefing-doc|study-guide|blog-post|custom}; quiz/flashcards {quantity:fewer|standard|more, difficulty:easy|medium|hard}; infographic {orientation, detail, style}; mind_map {kind:interactive|note-backed}). Acompanhe com notebooklm_artifact_list/get. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_artifact_list - Lista os artifacts do notebook. `type` filtra (audio|video|slide-deck|quiz|flashcard|infographic|data-table|mind-map|report).

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_artifact_get - Detalhes/status de um artifact.

Bulk support: accepts notebook_ids, artifact_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_artifact_poll - Aguarda/consulta o status de uma geração de artifact.

Bulk support: accepts notebook_ids, task_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_artifact_suggestions - Sugestões de artifacts para o notebook.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_artifact_rename - Renomeia um artifact.

Bulk support: accepts notebook_ids, artifact_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_artifact_retry - Re-tenta a geração de um artifact que falhou.

Bulk support: accepts notebook_ids, artifact_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_artifact_delete - Apaga um artifact.

Bulk support: accepts notebook_ids, artifact_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_download - Baixa o conteúdo de um artifact. Texto (report/mind_map/quiz/flashcards/data_table) retorna inline em `content`; binário (audio/video/slide_deck/infographic) retorna metadados + tamanho (entrega por URL é tratada à parte).

Bulk support: accepts notebook_ids, artifact_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_note_create - Cria uma nota no notebook.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_note_list - Lista as notas do notebook.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_note_get - Conteúdo de uma nota.

Bulk support: accepts notebook_ids, note_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_note_rename - Renomeia uma nota.

Bulk support: accepts notebook_ids, note_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_note_delete - Apaga uma nota.

Bulk support: accepts notebook_ids, note_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_share_status - Status de compartilhamento do notebook.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_share_public - Liga/desliga o link público do notebook.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_share_add - Compartilha o notebook com um email (editor/viewer).

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_share_update - Atualiza a permissão de um colaborador.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_share_remove - Remove o acesso de um colaborador.

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- notebooklm_share_view_level - Define o nível de acesso do link público: full (notebook todo) ou chat (só chat).

Bulk support: accepts notebook_ids for batched execution. Endpoint: https://api.mcp.ai/p_notebooklm
- show_version - Show the current MCP platform and adapter versions. Endpoint: https://api.mcp.ai/p_notebooklm
- report_bug - Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction. Endpoint: https://api.mcp.ai/p_notebooklm
- connect - Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs. Endpoint: https://api.mcp.ai/p_notebooklm
- toolkit_info - Returns the current toolkit state: installed MCPs, their connection status, and how many catalog tools each exposes. Endpoint: https://api.mcp.ai/p_notebooklm
- marketplace - The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. Endpoint: https://api.mcp.ai/p_notebooklm
- authenticate - MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link. Endpoint: https://api.mcp.ai/p_notebooklm

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.mcp-dir
- Version: 0.1.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 10, 2026
- Source: https://registry.modelcontextprotocol.io