73
/ 100
8 days ago
glama

NotebookLM MCP Server

Enables AI assistants to programmatically access and control Google NotebookLM, supporting operations like notebook management, source addition, audio generation, and more via natural language.

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
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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configHERMES_HOME
configNOTEBOOKLM_COOKIES
configNOTEBOOKLM_RPC_OVERRIDES
configNOTEBOOKLM_BL
configNOTEBOOKLM_HLbeausea ([@beausea](https://github.com/beausea)) for making the interface language configurable via the environment variable (PR #59).
configNOTEBOOKLM_MCP_TRANSPORT
configNOTEBOOKLM_MCP_HOST
configNOTEBOOKLM_MCP_PORT
configNOTEBOOKLM_MCP_PATH
configNOTEBOOKLM_QUERY_TIMEOUT
configNOTEBOOKLM_BASE_URL
configNOTEBOOKLM_MCP_CLI_PATH
configNLM_OUTPUT_FORMAT
configNLM_NO_COLOR
configNLM_BROWSER
configNLM_PROFILE
// 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 1 concrete improvement 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/leanhduy-iuh-notebooklm-mcp-fork-k1jiwm)](https://m8ven.ai/mcp/leanhduy-iuh-notebooklm-mcp-fork-k1jiwm)
commit: 9d5140cf2cad98299ce41f97deca32a74fee9199
code hash: c4bd8e6d8d8b371f95931d3add407c21beb4172ccbfc0e4af828290c97ca1bba
verified: 6/29/2026, 11:17:07 AM
view raw JSON →