ragkit

Item: ragkit
Rating: 43
Author: M8ven

A self-hostable, MCP-native RAG pipeline that ingests, indexes, and serves data, enabling AI agents to scan codebases for prioritized findings and integrate with CI workflows.

→ cognis-digital/ragkit · 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.

// 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 1 concrete improvement 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/cognis-digital-ragkit-jtd2wf)](https://m8ven.ai/mcp/cognis-digital-ragkit-jtd2wf)

commit: 54fd2569115f9c7b256fe35810a634781ecf240a

code hash: 204e4f111323c9b840d55bb1beb6fa15ab30977b792d7b40193cb4d5e9c33a21

verified: 6/10/2026, 10:26:50 AM

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