MCP RAG Server

Item: MCP RAG Server
Rating: 67
Author: M8ven

Enables document ingestion, semantic search, and retrieval-augmented generation via MCP tools and REST API, using vector embeddings and intelligent chunking.

→ amaralphp/mcp-rag-server · listed on glama

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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: OPENAI_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.

configQDRANT_HOST— localhost Host do Qdrant

configQDRANT_PORT— 6333 Porta HTTP Qdrant

configEMBEDDING_PROVIDER— local local ou openai

🔐 secretOPENAI_API_KEY— Chave OpenAI (se usar)

// 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/amaralphp-mcp-rag-server-1k7z11)](https://m8ven.ai/mcp/amaralphp-mcp-rag-server-1k7z11)

commit: 3fceafa96711cba34807a7358b9f8dcafef2a611

code hash: 6d462f59cbd237b5eadbd2c43e03dbbf3996b7b4a688103560c16c057b2fb69f

verified: 7/29/2026, 9:27:56 AM

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