# cardiovascular-disease-mcp

> Use this tool when you need to calculate a patient's 10-year risk of developing atherosclerotic cardiovascular disease (ASCVD) based on demographics and clinical factors. It solves problems in cardiovascular risk assessment by providing accurate and reliable risk scores, enabling informed decision-making for healthcare professionals. The tool takes patient data as input and outputs a 10-year ASCVD risk score, making it ideal for use in clinical settings where cardiovascular disease prevention and management are a priority.

Canonical page: https://skillsregistry.net/skills/jamesvdinh-cardiovascular-disease-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamesvdinh-cardiovascular-disease-mcp

## Description

MCP server for calculating a patient's 10-year ASCVD risk using the Pooled Cohort Equations. Enables LLMs to compute cardiovascular risk scores based on patient demographics and clinical factors.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/svfguz21cj)
- **Repository:** <https://github.com/jamesvdinh/cardiovascular-disease-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jamesvdinh-cardiovascular-disease-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamesvdinh-cardiovascular-disease-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamesvdinh-cardiovascular-disease-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt