Heart Score Calculator

Heart Score Calculator MCP Connector for Claude

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Determine acute myocardial infarction (AMI) risk using five key clinical metrics.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Heart Score Calculator: Acute Myocardial Infarction Risk Assessment

The initial assessment of chest pain patients is complex. Determining if symptoms are benign or indicative of a serious cardiac event requires aggregating information from multiple sources--a process prone to human variability and omission.

The Problem: Standard clinical pathways require synthesizing data from History, ECGs, Age, Comorbidities (Risk Factors), and Troponin levels into a single, actionable risk score. This synthesis must adhere strictly to AHA/ESC guidelines for immediate patient triage.

The Mechanism: This MCP connects AI agents directly to the necessary medical logic using three specialized tools:

  1. calculate_heart_score: Aggregates all five components (H, E, A, R, T) into a total score of 0-10.
  2. classify_risk_and_triage: Takes the resulting score and maps it to 'Low', 'Moderate', or 'High' risk categories with a defined triage level.
  3. recommend_clinical_conduct: Uses the final risk classification to generate mandatory diagnostic pathways, management directives, and follow-up schedules based on current medical standards.

The Advantage: The system provides deterministic, guideline-backed clinical decision support. Instead of generic advice, it outputs specific next steps--which tests to order, and where the patient should be managed--allowing clinicians to focus immediately on high-priority care.

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

calculate_heart_score

History and ECG scores are optional and default to 0 if not provided. Calculate the total HEART score for acute myocardial infarction risk assessment

classify_risk_and_triage

Patient age group is optional for validation. Classify a HEART score into risk category and determine triage priority

recommend_clinical_conduct

Adjusts for emergency room setting and patient gender when provided. Provide evidence-based clinical recommendations based on risk classification

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

Patient profile: Age 68, History score 2 (Anginal at rest), ECG score 1 (T-wave inversion), Risk Factor score 2 (Diabetes/Hypertension). Troponin is mildly elevated. Calculate the HEART score and recommend initial conduct.

First, I will use `calculate_heart_score` with inputs: historyScore=2, ecgFindingsScore=1, ageFactorScore=2, riskFactorComorbidityScore=2, troponinSeverityScore=1. The total score is 8. Next, using `classify_risk_and_triage(totalScore=8)`, the result is 'High Risk' with Triage Level 3. Finally, I call `recommend_clinical_conduct('High Risk')` which mandates immediate admission and urgent investigation.

I have a young patient (Age 35) with minimal symptoms. My calculated HEART score is 2. What should the next steps be?

The `classify_risk_and_triage` tool confirms a 'Low Risk' status for a total score of 2. Therefore, I run `recommend_clinical_conduct('Low Risk', false)` to get the recommended pathway. The output will guide us toward outpatient follow-up and discharge protocols.

Run a full assessment for an 85-year-old male presenting in the ER. Scores are: History=1, ECG=0, Age=2, RF=1, Troponin=0.

Initial calculation via `calculate_heart_score` yields a total score of 4. Using the `classify_risk_and_triage(totalScore=4, patientAgeGroup='over 80')` tool confirms 'Moderate Risk' with Triage Level 2. I then use `recommend_clinical_conduct('Moderate Risk', true, true)` to get actionable ER guidelines.

The core calculation happens via the `calculate_heart_score` tool. This function aggregates scores from five distinct components: History, ECG findings, Age factor, Risk Factors, and Troponin severity. The total score ranges from 0 to 10.

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