vector-mcp

Integrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations.

→ techexpert0119/vector-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.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 1 credential: LLM_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.

🔐 secretLLM_API_KEY— alias accepted if LLM_TOKEN is unset

configDEFAULT_AGENT_NAME

// 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 4 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/techexpert0119-vector-mcp-kym8th)](https://m8ven.ai/mcp/techexpert0119-vector-mcp-kym8th)

commit: eeff63315967dbab1a1eefe6f04fe84c08fe543c

code hash: ee5ccb0a20c2936c9c1446e8fef0eb4ebde36157cd703a51d2d2d5bdfb400dd1

verified: 7/1/2026, 10:02:43 AM

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