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NotebookLM

R0· no sign-in

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

v0.1.0 · active · repository · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality88good
Trust87of 100
Uptime, 30 days97%
Latency p50143 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "notebooklm-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_notebooklm"
    }
  }
}
claude mcp add --transport http notebooklm-mcp https://api.mcp.ai/p_notebooklm
[mcp_servers.notebooklm-mcp]
url = "https://api.mcp.ai/p_notebooklm"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "notebooklm-mcp": {
      "type": "remote",
      "url": "https://api.mcp.ai/p_notebooklm",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "notebooklm-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_notebooklm"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=notebooklm-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXBpLm1jcC5haS9wX25vdGVib29rbG0ifQ%3D%3D"
}
{
  "servers": {
    "notebooklm-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_notebooklm"
    }
  }
}
{
  "mcpServers": {
    "notebooklm-mcp": {
      "httpUrl": "https://api.mcp.ai/p_notebooklm"
    }
  }
}
extensions:
  "notebooklm-mcp":
    enabled: true
    name: "notebooklm-mcp"
    type: streamable_http
    uri: "https://api.mcp.ai/p_notebooklm"
    timeout: 300

Quality 88 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene93 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • warn
    tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations43 of 43 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • pass
    tools.token_costabout 6,434 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

43 tools, about 6,434 tokens to load them all · tool set 7674ee83e09b · checked 2026-10-19 16:20 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 87 / 100

provenance80
liveness99
freshness65
hygiene100

+repository +namespace-matches-repo +reachable +uptime-97% ~updated-131d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://api.mcp.ai/p_notebooklm streamable-httpnoneyes97%143 ms2025-11-252026-10-19

Tools (43)

authenticateMCP.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.
connectread-onlyReturns 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.
marketplaceThe 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.
notebooklm_artifact_deleteApaga um artifact. Bulk support: accepts notebook_ids, artifact_ids for batched execution.
notebooklm_artifact_getread-onlyDetalhes/status de um artifact. Bulk support: accepts notebook_ids, artifact_ids for batched execution.
notebooklm_artifact_listread-onlyLista 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_pollread-onlyAguarda/consulta o status de uma geração de artifact. Bulk support: accepts notebook_ids, task_ids for batched execution.
notebooklm_artifact_renameRenomeia um artifact. Bulk support: accepts notebook_ids, artifact_ids for batched execution.
notebooklm_artifact_retryRe-tenta a geração de um artifact que falhou. Bulk support: accepts notebook_ids, artifact_ids for batched execution.
notebooklm_artifact_suggestionsread-onlySugestões de artifacts para o notebook. Bulk support: accepts notebook_ids for batched execution.
notebooklm_askread-onlyPergunta ao notebook; resposta FUNDAMENTADA nas fontes, com citações. Pode demorar. Bulk support: accepts notebook_ids for batched execution.
notebooklm_downloadread-onlyBaixa 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_generateGera 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_historyread-onlyHistórico de Q&A da conversa do notebook. Bulk support: accepts notebook_ids for batched execution.
notebooklm_listread-onlyLista os notebooks do usuário. Retorna [{ id, title, ... }] — use o `id` nas demais tools.
notebooklm_notebook_createCria um notebook novo (vazio). Retorna o notebook com seu `id`.
notebooklm_notebook_deleteApaga um notebook (irreversível). Bulk support: accepts notebook_ids for batched execution.
notebooklm_notebook_metadataread-onlyMetadados do notebook + lista de fontes. Bulk support: accepts notebook_ids for batched execution.
notebooklm_notebook_renameRenomeia um notebook. Bulk support: accepts notebook_ids for batched execution.
notebooklm_notebook_summaryread-onlyResumo do notebook com insights gerados por IA. `topics:true` inclui tópicos sugeridos. Bulk support: accepts notebook_ids for batched execution.
notebooklm_note_createCria uma nota no notebook. Bulk support: accepts notebook_ids for batched execution.
notebooklm_note_deleteApaga uma nota. Bulk support: accepts notebook_ids, note_ids for batched execution.
notebooklm_note_getread-onlyConteúdo de uma nota. Bulk support: accepts notebook_ids, note_ids for batched execution.
notebooklm_note_listread-onlyLista as notas do notebook. Bulk support: accepts notebook_ids for batched execution.
notebooklm_note_renameRenomeia uma nota. Bulk support: accepts notebook_ids, note_ids for batched execution.
notebooklm_share_addCompartilha o notebook com um email (editor/viewer). Bulk support: accepts notebook_ids for batched execution.
notebooklm_share_publicLiga/desliga o link público do notebook. Bulk support: accepts notebook_ids for batched execution.
notebooklm_share_removeRemove o acesso de um colaborador. Bulk support: accepts notebook_ids for batched execution.
notebooklm_share_statusread-onlyStatus de compartilhamento do notebook. Bulk support: accepts notebook_ids for batched execution.
notebooklm_share_updateAtualiza a permissão de um colaborador. Bulk support: accepts notebook_ids for batched execution.
notebooklm_share_view_levelDefine o nível de acesso do link público: full (notebook todo) ou chat (só chat). Bulk support: accepts notebook_ids for batched execution.
notebooklm_source_addAdiciona 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_researchPesquisa na web (ou Drive) e adiciona fontes a partir dos resultados. Bulk support: accepts notebook_ids for batched execution.
notebooklm_source_deleteRemove uma fonte do notebook. Bulk support: accepts notebook_ids, source_ids for batched execution.
notebooklm_source_fulltextread-onlyTexto completo indexado de uma fonte. Bulk support: accepts notebook_ids, source_ids for batched execution.
notebooklm_source_getread-onlyDetalhes de uma fonte. Bulk support: accepts notebook_ids, source_ids for batched execution.
notebooklm_source_guideread-onlyResumo + palavras-chave de uma fonte (gerado por IA). Bulk support: accepts notebook_ids, source_ids for batched execution.
notebooklm_source_listread-onlyLista as fontes do notebook. Retorna [{ id, title, ... }]. Bulk support: accepts notebook_ids for batched execution.
notebooklm_source_refreshReprocessa uma fonte de URL/Drive (re-indexa o conteúdo atual). Bulk support: accepts notebook_ids, source_ids for batched execution.
notebooklm_source_renameRenomeia uma fonte. Bulk support: accepts notebook_ids, source_ids for batched execution.
report_bugReport a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
show_versionread-onlyShow the current MCP platform and adapter versions.
toolkit_inforead-onlyReturns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Schemas: list_tools.

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Official server.json
{
  "name": "io.github.mcp-dir/notebooklm-mcp",
  "title": "NotebookLM",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://api.mcp.ai/p_notebooklm",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.0",
  "repository": {
    "url": "https://github.com/mcp-dir/notebooklm-mcp",
    "source": "github"
  },
  "description": "Google NotebookLM via natural language: create notebooks, add sources (PDF, URL, YouTube) and ask gr"
}