NotebookLM MCP Server

by mcp-dir Your server? Claim it

answering

NotebookLM is answering right now. Last checked 10 min ago. It exposes 43 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 91 days of history · worst day 90%

91 days agonow

97.8%

Uptime 24h

89 of 91 checks

Tools

read from the server

900 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 161

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 8 August 2026. No other catalogue keeps this.

2 Nov a tool changed version6 times that day

30 Oct a tool changed version

27 Oct a tool changed version2 times that day

26 Oct a tool changed version6 times that day

24 Oct a tool changed version

23 Oct a tool changed version8 times that day

22 Oct a tool changed version2 times that day

21 Oct a tool changed version2 times that day

11 Oct a tool changed version3 times that day

8 Oct a tool changed version

and 151 more, back to 8 August 2026

NotebookLM does not always answer

Over the last week it answered 98.3% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add notebooklm-mcp --transport http https://api.mcp.ai/p_notebooklm

Settings → Connectors → Add custom connector, then paste this address

https://api.mcp.ai/p_notebooklm

~/.codex/config.toml

[mcp_servers.notebooklm-mcp]
url = "https://api.mcp.ai/p_notebooklm"

.cursor/mcp.json

{
  "mcpServers": {
    "notebooklm-mcp": {
      "url": "https://api.mcp.ai/p_notebooklm"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "notebooklm-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_notebooklm"
    }
  }
}

Available tools 43

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

notebooklm

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

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_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_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_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.

authenticate

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.

connect

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

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/<slug> link that opens without login.

report

report_bug

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

show

show_version

Show the current MCP platform and adapter versions.

toolkit

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.

Endpoints

URL	Transport	State	Latency	Checked
https://api.mcp.ai/p_notebooklm	streamable-http	answering	5494 ms	10 min ago

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NotebookLM — questions

Answers built from our own checks of this server.

What can NotebookLM do?

It exposes 43 tools, read directly from the server on our last check. Among them: authenticate, connect, marketplace, notebooklm_artifact_delete, notebooklm_artifact_get, notebooklm_artifact_list and 37 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is NotebookLM working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 89 of 91 checks got a reply (97.8%), average response time 900 ms. The bar chart above shows every period we have measured.

Is NotebookLM still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect NotebookLM?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does NotebookLM need an API key?

No. NotebookLM completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 43 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is NotebookLM?

It answers our handshake in 900 ms on average, which is faster than 8% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.