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11 days ago
glama

Modular RAG MCP Server

A pluggable, observable modular RAG service framework that exposes tool interfaces via the MCP protocol, enabling AI assistants like Copilot and Claude to directly invoke knowledge retrieval and reasoning capabilities.

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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 4 credentials: AZURE_OPENAI_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, DEEPSEEK_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.
🔐 secretAZURE_OPENAI_API_KEY
🔐 secretOPENAI_API_KEY
configAZURE_OPENAI_ENDPOINT
🔐 secretGEMINI_API_KEY
configOLLAMA_BASE_URL
🔐 secretDEEPSEEK_API_KEY
// 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 2 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/lina6795-modular-rag-mcp-server-5ktgz7)](https://m8ven.ai/mcp/lina6795-modular-rag-mcp-server-5ktgz7)
commit: 670bfc4b5fe04a88a4d0c0723df5527ab9043485
code hash: 3b3eeda8c4aec04a213b943f390b4d3ccce14c8ca76da855454a79c4b4c3c441
verified: 6/18/2026, 11:15:17 AM
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