Cardiology Knowledge Graph MCP

Item: Cardiology Knowledge Graph MCP
Rating: 69
Author: M8ven

Builds and manages a cardiology-focused knowledge graph in Neo4j by extracting medical entities and relationships from documents using LLMs. It enables users to ingest PDFs, refine extracted data, and perform natural language queries to gain clinical insights.

→ ryoureddy/Cardiology-Knowledge-Graph-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 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",

🔐 secretNEO4J_PASSWORD— "": "your-password",

🔐 secretOPENAI_API_KEY— "": "your-openai-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 5 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/ryoureddy-cardiology-knowledge-graph-mcp-n5g8fu)](https://m8ven.ai/mcp/ryoureddy-cardiology-knowledge-graph-mcp-n5g8fu)

commit: ca2fb4133dd483995fd6a4ef02f37805285071c5

code hash: 13b5f1da2e57da51268b0905a9643d3f979e11d4db7313c21bbe8588bd9ab1f0

verified: 6/17/2026, 12:20:35 PM

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