# GRACE Score Calculator MCP for AI Agents AI Agent Connect

> GRACE Score Calculator MCP. This tool calculates the Global Registry of Acute Coronary Events (GRACE) risk score to predict in-hospital and six-month mortality for patients with Acute Coronary Syndrome (ACS). It turns clinical data into actionable risk categories to help care teams prioritize immediate treatment.

## Overview
- **Category:** cardiology
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/ai-agent-connect
- **Tags:** grace-score, acute-coronary-syndrome, mortality-prediction, risk-stratification, cardiology

## Description

When a patient arrives with Acute Coronary Syndrome, every second counts. Doctors need to know who is at the highest risk of death or complications immediately. Instead of manually crunching numbers or flipping through old medical papers to find mortality tables, you can use this Connector to automate the risk stratification. You just feed in the vitals like heart rate, systolic blood pressure, and troponin levels, and the agent handles the rest. It uses validated clinical parameters to give you a precise score and tells you exactly where that patient falls on the risk spectrum. This is a huge time saver in high-pressure environments like emergency departments. It's one of the specialized tools you can find on Vinkius to make clinical decision support more reliable. You get a clear, data-driven view of the patient's prognosis that helps the team prioritize who needs the most immediate intervention before adverse events occur.

## Tools

### calculate_grace_score
Computes a weighted risk score for ACS patients based on established medical guidelines. This helps you get a raw numerical value for a patient's condition.

### get_risk_category
Converts a raw GRACE score into a Low, Intermediate, or High risk category. It also provides specific clinical recommendations based on that category.

## Prompt Examples

**Prompt:** 
```
A 65-year-old male has a heart rate of 90, blood pressure of 120, creatinine of 1.1, and an elevated troponin. What's his GRACE score?
```

**Response:** 
```
Based on the clinical parameters provided, here is the GRACE risk assessment:

| Parameter | Value |
| :--- | :--- |
| **GRACE Score** | 78 |
| **Risk Category** | Intermediate |
| **In-Hospital Mortality** | 4.2% |
| **6-Month Mortality** | 12.1% |

**Recommendation:** Monitor closely and consider immediate intervention based on your local protocols.
```

**Prompt:** 
```
I have a patient with a GRACE score of 78, age 75, and Killip Class III. What's their 6-month mortality risk?
```

**Response:** 
```
For a patient with a GRACE score of 78 and Killip Class III, the estimated mortality risks are:

*   **6-Month Mortality:** 12.1%
*   **Risk Category:** Intermediate

This indicates a significant risk profile that requires proactive management.
```

**Prompt:** 
```
What vitals do I need to provide for a GRACE score?
```

**Response:** 
```
To calculate an accurate GRACE score, you should provide the following nine parameters:

1.  **Age**
2.  **Heart Rate**
3.  **Systolic Blood Pressure**
4.  **Creatinine Level**
5.  **Killip Class**
6.  **Cardiac Arrest Status**
7.  **ST Deviation**
8.  **Troponin Concentration**
9.  **Other relevant clinical data**
```

## Capabilities

### Compute weighted risk scores
The Connector calculates a GRACE score based on specific ACS clinical parameters like heart rate and blood pressure.

### Map risk categories
It converts numerical scores into Low, Intermediate, or High risk categories for easier triage.

### Estimate mortality rates
The tool provides specific estimates for in-hospital and six-month mortality probabilities.

### Standardize clinical assessments
It ensures every patient gets a consistent risk stratification regardless of which clinician is on duty.

### Automate cardiology math
It removes the need for manual calculation of complex weighted medical scores.

## Use Cases

### Emergency Room Triage
A nurse provides a patient's vitals to the agent to see if they are high risk for immediate cardiac arrest using `calculate_grace_score`.

### Long-term Planning
A cardiologist wants to know the 6-month mortality risk for a patient with a score of 78 to plan follow-up care.

### Clinical Audit
A hospital administrator uses the tool to check if risk categories are being applied consistently across different departments.

### Research Analysis
A researcher feeds in a list of patient metrics to get a standardized mortality prediction for a cardiology study.

## Benefits

- Get faster triage results by using `calculate_grace_score` to process patient vitals instantly in the ER.
- Reduce clinical errors by replacing manual risk calculations with a standardized, validated scoring system.
- Improve patient outcomes by using `get_risk_category` to identify high-risk individuals who need immediate intervention.
- Standardize your clinical documentation so every patient gets a consistent risk assessment regardless of who is on shift.
- Save time on research by automating the generation of mortality probabilities for large sets of ACS patient data.

## How It Works

The bottom line is that you turn raw patient vitals into a standardized mortality prediction in seconds.

1. Provide the agent with the patient's core clinical data, such as age, blood pressure, and lab results.
2. The Connector processes these inputs through the established GRACE scoring algorithm.
3. You receive a final score, a risk category, and mortality estimates for the patient.

## Frequently Asked Questions

**What is the GRACE Score Calculator MCP?**
It is a cardiology tool that calculates the GRACE risk score for patients with Acute Coronary Syndrome. It helps doctors predict mortality and categorize risk levels automatically.

**Can this help in an emergency room setting?**
Yes, it is designed for high-pressure environments like the ER to help with rapid triage by turning patient vitals into clear risk categories.

**What specific patient data does the GRACE Score Calculator MCP need?**
You need to provide vitals like heart rate, blood pressure, creatinine levels, and troponin concentrations, along with the patient's age and Killip class.

**How does this tool predict mortality?**
The Connector uses established medical lookup tables to provide specific percentages for both in-hospital and six-month mortality based on the calculated score.

**Is this tool for all types of heart problems?**
No, this specific MCP is for Acute Coronary Syndrome (ACS). It is not intended for chronic heart disease or non-cardiac emergencies.

**How does the GRACE Score Calculator MCP improve triage?**
It removes manual math from the equation. By providing a Low, Intermediate, or High risk category instantly, it helps care teams prioritize the most critical patients.

**What inputs are required for the GRACE score calculation?**
The `calculate_grace_score` tool requires nine key parameters: age, heart rate, systolic blood pressure, potassium, creatinine, Killip class, cardiac arrest status, ST deviation, and enzyme elevation. Providing accurate data for all fields is critical for an accurate score.

**Does the tool provide more than just a numerical score?**
No. The system uses `get_risk_category` to translate the raw score into an actionable risk category (Low, Intermediate, High), providing immediate clinical recommendations and estimated mortality ranges for both hospital stay and six months post-discharge.

**Is this tool suitable for all patients with chest pain?**
The GRACE score is designed specifically for Acute Coronary Syndrome (ACS) patients. While the `calculate_grace_score` tool can accept general vital signs, clinical interpretation must be done by a qualified medical professional.