mcp-server-vector-search

Combines Neo4j graph database with vector search using OpenAI embeddings for intelligent semantic search across knowledge graphs.

→ miosomos/mcp-server-vector-search · 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 2 credentials: NEO4J_PASSWORD, OPENAI_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.

configNEO4J_URI— bolt://localhost:7687

configNEO4J_USERNAME— Neo4j username ✅ neo4j

🔐 secretNEO4J_PASSWORD— your_neo4j_password

configNEO4J_DATABASE— Neo4j database name ✅ neo4j

🔐 secretOPENAI_API_KEY— your_openai_api_key

// 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 2 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/miosomos-mcp-server-vector-search-1q2wrb)](https://m8ven.ai/mcp/miosomos-mcp-server-vector-search-1q2wrb)

commit: 021b2b664a42277d920b3712bbc6cf6e1df669c0

code hash: 259514db99f9ce71a02ed7703fefd335584c03324bea89a4cc0dc14d0814fedb

verified: 6/23/2026, 10:29:27 AM

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