# Metabolic Syndrome Screener AI Agent Connect

> Metabolic Syndrome Screener MCP provides your AI client with the clinical logic needed to evaluate metabolic health. It uses standardized medical frameworks like NCEP ATP III and IDF to analyze biometric data, including waist circumference, blood pressure, and glucose levels, to determine if a patient meets specific diagnostic criteria.

## Overview
- **Category:** healthcare
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_jTOAeG7NEDwSS3Hna3sgtmcNGkgm6mxeA6MIusL1/ai-agent-connect
- **Tags:** medical, metabolic, screening, health, clinical

## Description

You can use this MCP to bring clinical-grade metabolic screening to your AI-driven workflows. Instead of manually checking lab results against medical guidelines, you let your agent handle the heavy lifting. By feeding biometric data like fasting glucose, triglycerides, and HDL levels into your AI client, you can quickly identify if a patient meets the criteria for metabolic syndrome. The MCP uses established frameworks such as NCEP ATP III and IDF to ensure the math stays consistent with medical standards. It handles the threshold comparisons and data validation, so you can focus on interpreting the risk profile and planning interventions. Whether you are analyzing a single patient or looking for patterns across a dataset, this tool turns raw lab values into actionable clinical insights.

## Tools

### get_criteria_thresholds
This tool pulls the specific numerical cutoffs used by different medical frameworks for a given patient profile.

### summarize_risk_profile
This tool generates a qualitative summary of a patient's metabolic risk status.

### screen_metabolic_status
This tool evaluates metabolic health by processing provided biometric and lab data.

### validate_biometric_range
This tool checks if the biometric inputs you provide fall within plausible human physiological ranges.

## Prompt Examples

**Prompt:** 
```
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.
```

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

**Prompt:** 
```
What are the NCEP ATP III thresholds for a female?
```

**Response:** 
```
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.
```

**Prompt:** 
```
Summarize the risk for a patient who has met 4 metabolic criteria.
```

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

## Capabilities

### Clinical Framework Application
Your agent applies NCEP ATP III and IDF standards to patient data.

### Biometric Validation
The MCP checks that input values like blood pressure are physiologically possible.

### Risk Summarization
Your AI client generates high-level qualitative summaries of metabolic status.

### Threshold Retrieval
The tool fetches specific numerical cutoffs for different patient profiles.

### Diagnostic Screening
Your agent determines if a patient meets the full criteria for a metabolic syndrome diagnosis.

## Use Cases

### Patient Risk Stratification
Identify which patients in a clinic require immediate metabolic intervention.

### Data Quality Auditing
Use the validation tool to catch impossible biometric entries in a health database.

### Clinical Research Automation
Run standardized screenings across large patient populations to find metabolic trends.

### Automated Health Reporting
Generate qualitative risk summaries for patient charts based on lab results.

## Benefits

- Standardizes risk assessment using NCEP ATP III and IDF frameworks.
- Reduces manual calculation errors by automating threshold comparisons.
- Validates biometric inputs to ensure data quality before analysis.
- Converts raw lab values into qualitative risk summaries.

## How It Works

Connecting this MCP to your AI client gives your agent immediate access to clinical screening tools.

1. Connect your AI client to Vinkius.
2. Provide the agent with patient biometric or lab data.
3. The agent uses the MCP to validate the data and check medical thresholds.
4. The agent returns a diagnosis or a risk summary based on the results.

## Frequently Asked Questions

**Which medical frameworks does this MCP use?**
The MCP uses the NCEP ATP III and IDF frameworks for metabolic syndrome assessment.

**Can I use this with Claude or Cursor?**
Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.

**Does the MCP validate the input data?**
Yes, the validate_biometric_range tool checks if the provided data falls within plausible human ranges.

**What kind of data is needed for a screening?**
You typically need waist circumference, blood pressure, fasting glucose, HDL, and triglycerides.

**How is the risk reported?**
The agent can provide a specific diagnosis or a qualitative summary of the risk profile using the summarize_risk_profile tool.