73
/ 100
1 month ago
glama

Memory-DB MCP Server

A lightweight vector-based memory system for AI agents with tools to store, semantically search, and delete memories, using your own embedding model.

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// 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.
configEMBEDDING_API_URLSwitch models anytime — just change the
configQDRANT_HOSTlocalhost Qdrant host
configQDRANT_PORT6333 Qdrant port
// 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/cunzai97-memory-db-bhs6s4)](https://m8ven.ai/mcp/cunzai97-memory-db-bhs6s4)
commit: f42f983577fe1efb2da98416fce0d7b5738a30ae
code hash: 1b75d892181d757267f61761610646216dc5a202b27439ab008c1c5f8ede1605
verified: 6/28/2026, 9:05:41 AM
view raw JSON →