db-memory

A vector-DB MCP server that gives Claude conversational memory by storing solved problems and solutions as vectors and retrieving relevant ones when a new request resembles a past solution.

→ Ak1Ena/vector-db-mcp · 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: QDRANT_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.

configVECTOR_BACKEND— Switchable backend — =localcloud, no code change.

configCOLLECTION_NAME

configEMBED_MODEL— , delete the old Chroma memory_db/ or use a fresh Qdrant

configDB_PATH

configMIN_SCORE

configQDRANT_URL

🔐 secretQDRANT_API_KEY

configWEB_UI— Optional web dashboard — flip on =on to browse the store in your browser. Off by default.

configWEB_HOST— "env": { "WEB_UI": "on", "WEB_PORT": "8765", "": "127.0.0.1" }

configWEB_PORT— "env": { "WEB_UI": "on", "": "8765", "WEB_HOST": "127.0.0.1" }

// 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/ak1ena-vector-db-mcp-4eephq)](https://m8ven.ai/mcp/ak1ena-vector-db-mcp-4eephq)

commit: 365aaecd045c96dfa4ca4c17eb0d59086f294519

code hash: 0be3797c29266ca2ceb8849144ab5ce021a86a83176758b54ae53f8a1f84abaa

verified: 6/18/2026, 10:30:45 AM

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