# NotebookLM > Google NotebookLM via natural language: create notebooks, add sources (PDF, URL, YouTube) and ask gr - name: io.github.mcp-dir/notebooklm-mcp - version: 0.1.0 - connection class: R0 (autonomous) - trust: 87/100 - quality: 88/100 (good) - owner: not claimed - descriptor: https://api.protogrid.dev/v1/servers/io.github.mcp-dir%2Fnotebooklm-mcp - tools: https://api.protogrid.dev/v1/servers/io.github.mcp-dir%2Fnotebooklm-mcp/tools **An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe. ## Connection (mcpServers) ```json { "mcpServers": { "notebooklm-mcp": { "type": "http", "url": "https://api.mcp.ai/p_notebooklm" } } } ``` ## Trust - hygiene: 100 - liveness: 99 - freshness: 65 - provenance: 80 - drivers: +repository +namespace-matches-repo +reachable +uptime-97% ~updated-132d-ago - Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. ## Quality 88/100 (good) ### protocol: 75 (weight 25) - warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28 - n/a `protocol.stateless`: only applies to 2026-07-28 servers - pass `protocol.transport`: streamable HTTP - n/a `protocol.list_ttl`: only applies to 2026-07-28 servers ### authorization: n/a (weight 15) - n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth - n/a `auth.secret_in_url`: no templated URL ### tool hygiene: 93 (weight 30) - pass `tools.descriptions`: every tool has a description - warn `tools.description_length`: 1 tools have descriptions over 1,024 characters, which crowds the context - pass `tools.schemas`: every tool has an object input schema - pass `tools.annotations`: 43 of 43 tools declare readOnlyHint or destructiveHint - pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint - pass `tools.token_cost`: about 6,434 tokens to load every tool - pass `tools.api_dump`: tools are not a one-to-one API dump ### stability: 100 (weight 15) - pass `stability.changes`: no tool changes in 30 days - pass `stability.rug_pull`: no tool changed its meaning under the same name ### dependencies: n/a (weight 15) - n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package - tools: 43, about 6,434 tokens to load them all - tool set hash: 7674ee83e09b49016dce5fddd4c32324 - badge: [![protogrid quality](https://protogrid.dev/badge/io.github.mcp-dir/notebooklm-mcp.svg)](https://protogrid.dev/servers/io.github.mcp-dir/notebooklm-mcp) - Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. ### Tool changes _No tool definition changes recorded._ ## Remotes - https://api.mcp.ai/p_notebooklm (streamable-http, auth none, reachable true, uptime30d 0.974359) ## Packages _none_ ## Tools (43) - `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 ` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "" } after the user pastes, or with no args to get the link. - `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. - `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. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/ link that opens without login. - `notebooklm_artifact_delete`: Apaga um artifact. Bulk support: accepts notebook_ids, artifact_ids for batched execution. - `notebooklm_artifact_get`: Detalhes/status de um artifact. Bulk support: accepts notebook_ids, artifact_ids for batched execution. - `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. - `notebooklm_artifact_poll`: Aguarda/consulta o status de uma geração de artifact. Bulk support: accepts notebook_ids, task_ids for batched execution. - `notebooklm_artifact_rename`: Renomeia um artifact. Bulk support: accepts notebook_ids, artifact_ids for batched execution. - `notebooklm_artifact_retry`: Re-tenta a geração de um artifact que falhou. Bulk support: accepts notebook_ids, artifact_ids for batched execution. - `notebooklm_artifact_suggestions`: Sugestões de artifacts para o notebook. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_ask`: Pergunta ao notebook; resposta FUNDAMENTADA nas fontes, com citações. Pode demorar. Bulk support: accepts notebook_ids for batched execution. - `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. - `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. - `notebooklm_history`: Histórico de Q&A da conversa do notebook. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_list`: Lista os notebooks do usuário. Retorna [{ id, title, ... }] — use o `id` nas demais tools. - `notebooklm_notebook_create`: Cria um notebook novo (vazio). Retorna o notebook com seu `id`. - `notebooklm_notebook_delete`: Apaga um notebook (irreversível). Bulk support: accepts notebook_ids for batched execution. - `notebooklm_notebook_metadata`: Metadados do notebook + lista de fontes. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_notebook_rename`: Renomeia um notebook. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_notebook_summary`: Resumo do notebook com insights gerados por IA. `topics:true` inclui tópicos sugeridos. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_note_create`: Cria uma nota no notebook. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_note_delete`: Apaga uma nota. Bulk support: accepts notebook_ids, note_ids for batched execution. - `notebooklm_note_get`: Conteúdo de uma nota. Bulk support: accepts notebook_ids, note_ids for batched execution. - `notebooklm_note_list`: Lista as notas do notebook. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_note_rename`: Renomeia uma nota. Bulk support: accepts notebook_ids, note_ids for batched execution. - `notebooklm_share_add`: Compartilha o notebook com um email (editor/viewer). Bulk support: accepts notebook_ids for batched execution. - `notebooklm_share_public`: Liga/desliga o link público do notebook. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_share_remove`: Remove o acesso de um colaborador. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_share_status`: Status de compartilhamento do notebook. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_share_update`: Atualiza a permissão de um colaborador. Bulk support: accepts notebook_ids for batched execution. - `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. - `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. - `notebooklm_source_add_research`: Pesquisa na web (ou Drive) e adiciona fontes a partir dos resultados. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_source_delete`: Remove uma fonte do notebook. Bulk support: accepts notebook_ids, source_ids for batched execution. - `notebooklm_source_fulltext`: Texto completo indexado de uma fonte. Bulk support: accepts notebook_ids, source_ids for batched execution. - `notebooklm_source_get`: Detalhes de uma fonte. Bulk support: accepts notebook_ids, source_ids for batched execution. - `notebooklm_source_guide`: Resumo + palavras-chave de uma fonte (gerado por IA). Bulk support: accepts notebook_ids, source_ids for batched execution. - `notebooklm_source_list`: Lista as fontes do notebook. Retorna [{ id, title, ... }]. Bulk support: accepts notebook_ids for batched execution. - `notebooklm_source_refresh`: Reprocessa uma fonte de URL/Drive (re-indexa o conteúdo atual). Bulk support: accepts notebook_ids, source_ids for batched execution. - `notebooklm_source_rename`: Renomeia uma fonte. Bulk support: accepts notebook_ids, source_ids for batched execution. - `report_bug`: Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction. - `show_version`: Show the current MCP platform and adapter versions. - `toolkit_info`: Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.