MCP For Claude Marketplace
GRACE Score Calculator

GRACE Score Calculator MCP Connector for Claude

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Calculates the Global Registry of Acute Coronary Events (GRACE) risk score to predict in-hospital and six-month mortality for ACS patients.

2 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The clinical assessment of a patient with Acute Coronary Syndrome (ACS) requires more than just looking at vital signs. A comprehensive risk score is needed to predict short-term mortality and guide immediate treatment decisions. The GRACE Score Calculator addresses this gap by providing a standardized, clinically validated toolset for accurate risk stratification.

How it works:

The system takes nine core clinical parameters--including age, heart rate, systolic blood pressure, creatinine level, Killip class, cardiac arrest status, ST deviation, and troponin concentration. It uses these inputs to compute the composite GRACE score (0-100).

Mechanism:

  1. The primary calculation is handled by calculate_grace_score. This tool computes a weighted risk score based on established medical guidelines.
  2. Once the raw score is generated, get_risk_category maps that numerical output to an actionable risk category (Low, Intermediate, or High).
  3. Furthermore, the system estimates both in-hospital and six-month mortality probabilities using hardcoded lookup tables for precise clinical prediction.

The result provides a clear, data-driven view of the patient's immediate and long-term prognosis, allowing care teams to prioritize resources and intervene before adverse events occur.

grace-scoreacute-coronary-syndromemortality-predictionrisk-stratificationcardiology

2 tools expose this connector's capabilities to your AI agent.

get_risk_category

Get risk category and recommendation for a GRACE score

calculate_grace_score

Calculate GRACE risk score for acute coronary syndrome patients

See how to talk to your AI agent using GRACE Score Calculator.

Calculate the GRACE score for a 65-year-old male with HR of 90, SBP of 120, creatinine of 1.1, Killip Class II, no cardiac arrest, ST deviation of 1, and troponin elevated.

First, I will call `calculate_grace_score` with the provided vitals. Then, using the resulting score, I will call `get_risk_category` to get the final risk assessment and mortality estimates.

I need an estimated 6-month mortality risk for a patient with a calculated GRACE score of 78, who is age 75 and Killip Class III.

To determine the long-term prognosis, I will use `get_risk_category` (or a related prediction endpoint if available) with the score of 78. This function is designed to provide mortality estimates based on age and Killip class.

What are the critical parameters for the calculator?

The core calculation relies on inputting vitals like SBP, HR, and lab results (creatinine/troponin) via `calculate_grace_score` to generate the initial score.

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.

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