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25 days ago
glama

Modular RAG System

MCP server for a modular RAG system that enables natural language question answering over enterprise documents with intent-aware routing, adaptive retrieval, and citation-backed responses.

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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 1 credential: GOOGLE_API_KEY
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.
🔐 secretGOOGLE_API_KEYYOUR_API_KEY
configHF_HUB_DISABLE_SYMLINKS_WARNING
configTRANSFORMERS_NO_ADVISORY_WARNINGS
configTOKENIZERS_PARALLELISM
configOMP_NUM_THREADS
configMKL_NUM_THREADS
configOPENBLAS_NUM_THREADS
configVECLIB_MAXIMUM_THREADS
configNUMEXPR_NUM_THREADS
// 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 4 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/naffss-eng-modular-rag-system-1nzslw)](https://m8ven.ai/mcp/naffss-eng-modular-rag-system-1nzslw)
commit: dc33bc25f5faf91fbf3157c731a497c981293a2d
code hash: da7d1fc7af30f7b4aaa812c90729d8cac97c87f3b5af5660b9544807580c234f
verified: 7/6/2026, 10:33:40 AM
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