Metabolic Syndrome Screener

Metabolic Syndrome Screener MCP Connector for Claude

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Clinical screening tool for metabolic syndrome risk assessment.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides clinical tools to evaluate metabolic health using standardized medical frameworks like NCEP ATP III and IDF. It allows AI agents to perform risk assessments by analyzing biometric data such as waist circumference, blood pressure, fasting glucose, HDL, and triglycerides. Using screen_metabolic_status, agents can determine if a patient meets the criteria for a metabolic syndrome diagnosis and identify specific intervention priorities.

medicalmetabolicscreeninghealthclinical

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

validate_biometric_range

Verifies if the provided biometric inputs fall within physiologically plausible human ranges

summarize_risk_profile

Generates a high-level qualitative summary of the metabolic risk status

get_criteria_thresholds

Retrieves the specific numerical thresholds used by the different medical frameworks for a given profile

screen_metabolic_status

Evaluates the user's metabolic health based on provided biometric and lab data

See how to talk to your AI agent using Metabolic Syndrome Screener.

Screen a male patient with 105cm waist, 140/90 mmHg blood pressure, 110 mg/dL glucose, 35 mg/dL HDL, and 180 mg/dL triglycerides using NCEP ATP III.

The patient meets 3 criteria (waist circumference, blood pressure, and triglycerides) and is diagnosed with metabolic syndrome.

What are the NCEP ATP III thresholds for a female?

For a female using NCEP ATP III, the waist circumference threshold is 88 cm, blood pressure is 90/60 mmHg, glucose is 100 mg/dL, HDL is 50 mg/dL, and triglycerides are 150 mg/dL.

Summarize the risk for a patient who has met 4 metabolic criteria.

The patient is in the High risk category due to meeting multiple metabolic syndrome criteria.

The tool supports the NCEP ATP III and the IDF (International Diabetes Federation) frameworks for metabolic syndrome diagnosis.

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