cardiovascular-disease-mcp

cardiovascular-disease-mcp

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.

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Cardiovascular Disease MCP

An open source repository containing a CVD risk model predictor and an external MCP server for use in Darena Health (MeldRx)

CVD Risk Model

Utilizes the risk model from Oracle Health's ascvd-risk-calculator which is based off of the Pooled Cohort Equations and lifetime risk prediction tools. This calculator follows the 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults.

This tool is intended for those with an assumed LDL - Cholesterol < 190 mg/dL, and the following are a number of factors required to calculate an estimated ASCVD risk:

  • Sex
  • Age
  • Race
  • Total Cholesterol
  • HDL - Cholesterol
  • Systolic Blood Pressure
  • Diabetes status
  • Current Smoking status
  • Treatment for Hypertension status

The risk scores calculated by this tool and any recommendations provided are intended to inform, and should not supersede any findings or opinions by a care provider.

The file associated with the model calculation is located in mcp-tools/calculate-cvd-risk-tool

10-year ASCVD Risk

The 10-year risk estimate provided by this application is primarily applicable towards African-American and non-Hispanic white men and women between the ages of 40 and 79 years. Other ethnic groups will have their score calculated with the same equation for non-Hispanic white men and women, though the score estimated may underestimate or overestimate the risk for these persons.

MCP server

This custom MCP server is based off of Darena Health's default Community MCP Repository

File structure

Running Locally

  1. Install NPM and install/update Node
  2. Run npm install to install all dependencies onto the project
  3. Run npm start to start the server on port 5000 of localhost

<details> <summary>Running on Docker</summary>

Running on Docker

  1. Install and open Docker Desktop

  2. In terminal, run this to create a docker image and run the container

    docker-compose up --build
    

</details>

Creating a web-facing API endpoint

For local development, use ngrok for creating a quick endpoint for your local MCP server.

  1. Install ngrok and create an auth token by making an account

  2. In your terminal, run ngrok http 5000

  3. Copy the ngrok forwarded URL (highlighted below)

    Terminal

  4. In MeldRx, navigate to your workspace -> AI -> MCP Servers and click Add External MCP Server

  5. Input the fields as outlined below and click Test and Save

    MeldRx MCP servers page

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