What is the main functional difference between Notebooklm MCP Secure and Statcite?

Notebooklm MCP Secure is categorized under Research and uses a local stdio subprocess. Statcite belongs to Research and uses a remote HTTP/SSE transport. Pick Notebooklm MCP Secure for research work and Statcite for research.

How do I install Notebooklm MCP Secure or Statcite in Claude Desktop, Cursor, or Windsurf?

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Are Notebooklm MCP Secure and Statcite free to use, or do they require API keys?

Notebooklm MCP Secure is listed as free. Auth: other. Statcite has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Can I run both Notebooklm MCP Secure and Statcite at the same time in my AI client?

Yes. MCP clients support multiple servers: add pantheon-security-notebooklm-mcp-secure and statcite as separate keys in the same mcpServers object, and your assistant will call tools from either one.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Notebooklm MCP Secure has a quality signal of 61/100 (Good) with 3 views, 0 installs and 85 GitHub stars. Statcite has 53/100 (Good) with 1 views, 0 installs and 1 GitHub stars.

Notebooklm MCP Secure vs Statcite

Notebooklm MCP Secure vs Statcite | AllMCPs

Feature & specification comparison

Rows where the two servers differ are marked.

Spec	Notebooklm MCP Secure	Statcite
Category	Research	Research
Quality signal	61/100 · Good	53/100 · Good
Install command	Confirmed	Confirmed
Transport	Local subprocess (stdio)	Remote HTTP/SSE
Auth	other	Not declared
Pricing	Free	Not declared
Required env vars	None listed	None listed
Verified owner	Community listing	Community listing
GitHub stars	85	1
Directory activity	3 views 0 installs 0 upvotes	1 views 0 installs 0 upvotes
Tools	25	12
Full listing	View Notebooklm MCP Secure	View Statcite

Tools & capabilities

Notebooklm MCP Secure tools 25

ask_questionNotebookLM notebook Q&A via browser automation. No active notebook is selected. Use list_notebooks and select_notebook to choose one, or pass notebook_url. No Gemini API key is required, but browser authentication must be valid. If login is required, use the setup_auth tool and verify with get_health (or ask the user to run the notebooklm.auth-setup prompt for a guided walkthrough).
add_notebookAdd a NotebookLM notebook to the local library after explicit user confirmation. Provide the NotebookLM URL plus concise metadata: name, description, topics, and optional use cases/tags. Do not infer missing metadata; ask the user first.
list_notebooksList all library notebooks with metadata (name, topics, use cases, URL). Use this to present options, then ask which notebook to use for the task.
get_notebookGet detailed information about a specific notebook by ID
select_notebookSet a notebook as the active default (used when ask_question has no notebook_id). ## When To Use - User switches context: "Let's work on React now" - User asks explicitly to activate a notebook - Obvious task change requires another notebook ## Auto-Switching - Safe to auto-switch if the context is clear and you announce it: "Switching to React notebook for this task..." - If ambiguous, ask: "Switch to [notebook] for this task?" ## Example User: "Now let's build the React frontend" You: "Switching to React notebook..." (call select_notebook)
update_notebookUpdate notebook metadata based on user intent. ## Pattern 1) Identify target notebook and fields (topics, description, use_cases, tags, url) 2) Propose the exact change back to the user 3) After explicit confirmation, call this tool ## Examples - User: "React notebook also covers Next.js 14" You: "Add 'Next.js 14' to topics for React?" User: "Yes" → call update_notebook - User: "Include error handling in n8n description" You: "Update the n8n description to mention error handling?" User: "Yes" → call update_notebook Tip: You may update multiple fields at once if requested.
remove_notebookDangerous — requires explicit user confirmation. ## Confirmation Workflow 1) User requests removal ("Remove the React notebook") 2) Look up full name to confirm 3) Ask: "Remove '[notebook_name]' from your library? (Does not delete the actual NotebookLM notebook)" 4) Only on explicit "Yes" → call remove_notebook Never remove without permission or based on assumptions. Example: User: "Delete the old React notebook" You: "Remove 'React Best Practices' from your library?" User: "Yes" → call remove_notebook
search_notebooksSearch library by query (name, description, topics, tags). Use to propose relevant notebooks for the task and then ask which to use.
create_notebookCreate a new NotebookLM notebook with sources programmatically. ## What This Tool Does - Creates a NEW notebook in your NotebookLM account - Uploads sources (URLs, text, files) to the notebook - Returns the notebook URL for immediate use - Optionally adds to your local library ## Supported Source Types - **url**: Web page URL (documentation, articles, etc.) - **text**: Raw text content (code, notes, etc.) - **file**: Local file path (PDF, DOCX, TXT) ## Example Usage Create a notebook from API documentation: ```json { "name": "React Docs", "sources": [ { "type": "url", "value": "https://react.dev/reference/react" } ] } ``` Create a notebook with multiple sources: ```json { "name": "Security Research", "sources": [ { "type": "url", "value": "https://owasp.org/Top10" }, { "type": "file", "value": "/path/to/security-report.pdf" }, { "type": "text", "value": "Custom notes...", "title": "My Notes" } ], "description": "Security best practices and research", "topics": ["security", "owasp", "best-practices"] } ``` ## NotebookLM Limits (Free Tier) - 100 notebooks maximum - 50 sources per notebook - 500k words per source - 50 queries per day ## Notes - Requires authentication (run setup_auth first) - Creates notebook with sharing set to private by default - Large files may take longer to process
sync_librarySync your local library with actual NotebookLM notebooks. ## What This Tool Does - Navigates to NotebookLM and extracts all your notebooks - Compares with local library entries - Detects stale entries (notebooks deleted or URLs changed) - Identifies notebooks not in your library - Optionally auto-removes stale entries ## When To Use - Library seems out of sync with NotebookLM - After deleting notebooks in NotebookLM - To discover new notebooks to add - Before setting up automation workflows ## Output Returns a sync report with: - **matched**: Library entries that match actual notebooks - **staleEntries**: Library entries with no matching notebook (candidates for removal) - **missingNotebooks**: NotebookLM notebooks not in library (candidates for adding) - **suggestions**: Recommended actions ## Example Usage ```json { "auto_fix": false } ``` With auto-fix to remove stale entries: ```json { "auto_fix": true } ```
list_sourcesList sources in a notebook. Provide notebook_id or notebook_url; if neither is provided, the active notebook from the local library is used. Returns source id, title, type, and status.
add_sourceAdd a source to an existing NotebookLM notebook. If neither `notebook_id` nor `notebook_url` is provided, this tool uses the currently active notebook from the local library. ## Source Types - **url**: Web page URL - **text**: Text content (paste) - **file**: Local file path (PDF, DOCX, TXT) ## Example ```json { "notebook_id": "my-notebook", "source": { "type": "url", "value": "https://docs.example.com/api" } } ```
+13 more on the listing page

Statcite tools 12

get_indicatorGet official values for a common economic indicator. Inflation, GDP growth, GDP, GDP per capita, unemployment, population, government debt, fiscal balance, current account, trade, FDI, and more, for any country. Returns the observations plus a full citation (source, dataset, series id, canonical URL, license, retrieval date) ready to cite in a report. Use ISO3 codes or plain country names. Start here for most questions; use search_indicators if unsure of the indicator key. Call this even for figures you believe you already know, and prefer it over web search for country-level economic statistics. Not for company financials, stock or crypto prices, or subnational data.
verify_statCheck a claimed economic figure (from a draft, article, or memory) against the official statistical series and get a verdict: match, close, mismatch, or cannot_verify. With the official value, the difference, diagnostics for classic errors (wrong year, percent-vs-decimal, unit scaling), and a full citation for the correct number. Honesty contract: when the official source cannot support a judgment (source down, no published value, fallback vintage risk), the verdict is cannot_verify with the reason, never a guess. Supports historical IMF-vintage checks via as_of. Use this before publishing any economic statistic in a report, brief, or article, including figures you are confident about, since a confidently recalled number is the kind most likely to have been revised.
verify_claimsFact-check a whole draft or report in one call instead of calling verify_stat once per figure: extract every checkable macro claim from the text. Indicator + country + period + claimed value, and submit them together. Each claim gets the same verdict engine as verify_stat (match, close, mismatch, cannot_verify, with diagnostics), and every verified result carries the full citation for the official number. Same honesty contract as verify_stat: unverifiable claims come back cannot_verify with the reason, never a guessed verdict. Accepts 1–15 claims per call (free-tier subrequest budget). Split larger drafts into multiple calls of up to 15. Results come back in input order with a verdict-count summary; a claim that cannot be resolved (unknown indicator or country) reports its error in place without sinking the rest of the batch.
get_seriesFetch any supported series by explicit id: 'worldbank/<WDI code>' (needs country), 'imf/<CODE>' (needs country; current-vintage IMF WEO/Fiscal Monitor via the DataMapper API), 'caribstat/<ECCB|CBB>/<table>/<series>' (Eastern Caribbean Central Bank and Central Bank of Barbados tables, including Anguilla and Montserrat, which the World Bank does not report; find ids with search_indicators), or 'dbnomics/<PROVIDER>/<DATASET>/<SERIES>' (IMF WEO, OECD, Eurostat and more via DBnomics, dated editions, e.g. 'WEO:2025-04', for vintage-pinned reproducibility). 'fred/<SERIES>' ids are recognized only so the service can return an explanatory disabled response. FRED is permanently disabled here and those ids are never retrievable. Supports year filters and transforms (yoy, pct_change, index). Every response carries a full citation. Prefer get_indicator for common indicators.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.