74
/ 100
11 days ago
glama

notebooklm-mcp-rpc

A pure-TypeScript MCP server for Google NotebookLM using the batchexecute RPC protocol. Enables management of notebooks, sources, chat, and artifact generation with no Python dependencies.

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// known CVEs in dependencies2 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.0.4GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.0.4GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/sanjeev7e-notebooklm-mcp-1hv09k)](https://m8ven.ai/mcp/sanjeev7e-notebooklm-mcp-1hv09k)
commit: 46ba6dca485b4b97d45b4328104b6e72cc80d79d
code hash: 4c20e918eab006885bf64e3e3fab3769eb56e16d400c994f435e2705a8288373
verified: 7/1/2026, 9:55:22 AM
view raw JSON →