RAG Factory

Item: RAG Factory
Rating: 69
Author: M8ven

Automated RAG pipeline optimization and serving. It interviews users, builds and evaluates candidate configurations on their data, and registers the best ones as a fleet queryable via MCP.

→ Zyxac24/AutoML_for_RAG-public · 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.

✅

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.

configRAGFACTORY_REGISTRY_DIR— optional: =/path/to/registry python -m ragfactory.mcp_server

configPROJECT_DIR

// 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 5 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/zyxac24-automl-for-rag-public-abayle)](https://m8ven.ai/mcp/zyxac24-automl-for-rag-public-abayle)

commit: 40418f54f3d894e1b88f6d1037ed0e78bb885faa

code hash: 732fe5e12d7a883d3fe7075953775979af60e4d9bddd80bd380ad5582d34b3d2

verified: 7/21/2026, 8:38:30 AM

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