MemDx

Item: MemDx
Rating: 74
Author: M8ven

Provides local memory layer using Qdrant vector storage and Ollama embeddings for persistent context storage across conversations, automatically indexing project documentation and enabling user-defined memory segregation by project without requiring API keys or cloud dependencies.

→ beingpro007/memdx · listed on pulsemcp

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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.

configMEMDX_AGENT_ID

configMEMDX_URL

configMEMDX_USER_ID

configQDRANT_HOST

configQDRANT_PORT

configEMBEDDING_DIMS

configEMBEDDING_MODEL

configOLLAMA_HOST

configOLLAMA_PORT

configLLM_MODEL

// 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 3 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/beingpro007-memdx-1ga3j8)](https://m8ven.ai/mcp/beingpro007-memdx-1ga3j8)

commit: 500f98a8996d970cf50a03d5b379d983a714342f

code hash: d8d223d5e7bd3b42362f6a8be4bb4f0add2a12ba20195380d3c117bfd738e455

verified: 7/26/2026, 8:48:17 AM

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