67
/ 100
9 days ago
glama

RECON

Enables multi-source research with YouTube, papers, and podcasts, scoring for substance and credibility, and creating NotebookLM notebooks with knowledge graph and feedback loop.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 3 credentials: YOUTUBE_API_KEY, PODCAST_INDEX_KEY, PODCAST_INDEX_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretYOUTUBE_API_KEYyour_key_here # https://console.cloud.google.com/apis/credentials
🔐 secretPODCAST_INDEX_KEY
🔐 secretPODCAST_INDEX_SECRET
configHEADLESS
// 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 6 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/rafiulislam4246-recon-by-rafiul-1889kt)](https://m8ven.ai/mcp/rafiulislam4246-recon-by-rafiul-1889kt)
commit: 74cc1aba714179af09a80a400212ddd303ff9fe3
code hash: e7372a4e793855cd13e80b26a0391d2f1d1b213321487936a8281dc90eba8ba1
verified: 7/22/2026, 8:44:07 AM
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