Framingham Risk MCP. Standardized cardiac risk scoring in seconds.
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The Framingham Cardiovascular Risk Calculator uses standard medical metrics to predict a patient's health outlook. It calculates an estimated 10-year cardiovascular risk percentage and provides a vascular age estimate using established clinical guidelines.
This MCP takes core inputs—like blood pressure, cholesterol levels, age, and smoking status—to give clinicians a standardized view of major heart attack or stroke probability.
What your AI agents can do
Calculate ten year risk
Predicts the percentage chance of a major heart attack or stroke over ten years using age, sex, cholesterol levels, SBP, smoking status, and diabetes status.
Estimate vascular age
Calculates an estimate of a patient's arterial age based on total cholesterol, HDL-C, systolic blood pressure, and chronological age.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Framingham Cardiovascular Risk Calculator (2 Tools)
These two tools let your agent calculate a patient's 10-year cardiovascular probability score and estimate their vascular age using core medical metrics.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Framingham Cardiovascular Risk Calculator on Vinkius019ecb73calculate ten year risk
Predicts the percentage chance of a major heart attack or stroke over ten years using age, sex, cholesterol levels, SBP, smoking status, and diabetes status.
019ecb73estimate vascular age
Calculates an estimate of a patient's arterial age based on total cholesterol, HDL-C, systolic blood pressure, and chronological age.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
Start with Framingham Cardiovascular Risk Calculator, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Framingham Cardiovascular Risk Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
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Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 2 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Tracking patient risk means navigating mountains of data points.
Today, calculating true cardiac risk involves gathering inputs from multiple sources: the chart notes, the lipid panel report, and the history intake form. A clinician ends up cross-referencing several different formulas—one for 10-year probability, another for vascular age—and manually inputting seven distinct data points into a spreadsheet just to get two numbers.
With this MCP, you give your agent all those inputs once. It handles the entire calculation sequence and spits out both the risk percentage and the arterial age estimate in one clean output. You stop managing spreadsheets; you start making decisions.
Get two critical metrics instantly with `estimate_vascular_age`
The tedious manual steps—identifying which cholesterol markers matter, and then applying the correct formula based on age and SBP—are entirely gone. You just input the four key numbers, and the result appears.
What’s different now is that you get a scientifically backed measure of arterial stress immediately. It's not just an estimate; it’s a quantified measurement of current system health.
What you can do with this MCP connector
Understanding true cardiac risk requires more than just looking at current vitals; it demands complex metrics modeled after large population studies. This MCP provides that standard assessment by running the patient's data through established scoring models. You can predict the likelihood of a major cardiovascular event, like a heart attack or stroke, over the next decade.
It also gives an estimate of vascular age, which checks how stressed the patient’s arteries are compared to their actual years lived.
Instead of manually running these calculations across different spreadsheets and using varying formulas, your agent handles the entire process in one go. When you run this MCP through Vinkius, all sensitive patient metrics pass through a zero-trust proxy. This means the system uses the data only for the calculation—it never stores or leaves your confidential credentials on disk.
You get standardized, clinically relevant risk scores and age estimates without compromising security.
019ecb73-a2f8-735b-9182-626550b794ca 
How Framingham Risk MCP Works
- 1 Provide the agent with specific patient data: age, sex, total and HDL cholesterol, systolic blood pressure (SBP), smoking history, and diabetes status.
- 2 The MCP runs these inputs through two separate clinical models to generate both a 10-year risk score and an estimate of vascular age.
- 3 You receive the calculated percentages and age differentials, giving you immediate insight into the patient’s cardiac profile.
The bottom line is that you get structured, quantifiable risk data from complex medical inputs without needing to manually manage the formulas or the calculations.
Who Is Framingham Risk MCP For?
Cardiologists and primary care physicians who are tired of piecing together fragmented patient risk data. This MCP lets you generate standardized, quantitative health assessments instantly.
Needs to quickly triage a new patient's risk level using basic vitals and history before sending them to a specialist.
Uses the MCP during routine checkups to generate both a 10-year forecast and an immediate assessment of vascular health.
Integrates validated risk metrics into patient electronic health records for better longitudinal care tracking.
What Changes When You Connect
- Calculate 10-year probability: Get a clear, standardized percentage for major cardiovascular events by running the
calculate_ten_year_risktool. This moves beyond simple vital signs into predictive medicine. - Assess vascular stress: Use the
estimate_vascular_agefunction to see if a patient’s arteries are older than their actual age—a critical metric often missed in routine checks. - Handle complex inputs: The MCP requires seven distinct data points (including smoking and diabetes status) for accurate calculation, handling complexity far better than manual sheets.
- Improve workflow visibility: If you combine this MCP with a messaging tool, your agent can not only calculate the risk but also draft follow-up notes detailing those findings.
- Maintain compliance: Because credentials pass through Vinkius's zero-trust proxy, you process highly sensitive patient data without ever worrying about storing keys on disk.
Real-World Use Cases
Initial Patient Intake Assessment
A nurse practitioner enters basic vitals for a new patient. The agent calls calculate_ten_year_risk and gets an immediate 10-year risk score, allowing the NP to immediately determine if the patient needs urgent specialist referral or routine follow-up.
Monitoring High Cholesterol
The primary care physician wants to know how a high cholesterol count affects the patient's arteries. They use estimate_vascular_age, instantly seeing if the patient’s vascular age is significantly higher than their actual age, guiding immediate lifestyle recommendations.
Comprehensive Risk Review
The physician needs a full picture: 68-year-old male, high SBP, smoker. The agent runs both calculate_ten_year_risk and estimate_vascular_age simultaneously to provide two complementary risk metrics in one output.
Follow-up Care Documentation
Instead of typing up the results, the agent runs the calculations and then drafts a summary note detailing the 'moderate' or 'low' risk classification derived from calculate_ten_year_risk, ready for electronic signing.
The Tradeoffs
Using only SBP and Age
Manually calculating a score using just blood pressure and age gives an incomplete, highly misleading picture of cardiovascular risk.
→
You must use the calculate_ten_year_risk tool. This function requires total cholesterol, HDL-C, smoking status, and diabetes status to give you a full clinical view.
Ignoring Cholesterol Markers
Relying only on general health advice ignores the specific impact of lipid profiles (Total Chol/HDL-C) on arterial decay.
→
The estimate_vascular_age tool uses HDL-C and Total Cholesterol, giving you a precise metric that measures how far along the patient's arteries are in their life cycle.
Running separate tools
Calling two different MCPs for risk metrics is inefficient and risks losing data context between runs.
→ Use your agent to sequence these calculations. The ability to chain multiple MCPs means you can get both the 10-year forecast AND the vascular age in one continuous, automated workflow.
When It Fits, When It Doesn't
Use this MCP if your goal is to generate a standardized, quantifiable risk score for cardiovascular health. You need metrics that combine cholesterol levels (Total Chol and HDL-C), blood pressure, smoking status, diabetes status, and age. If you only need to track basic vitals or calculate something simple like BMI, don't use this. Use a dedicated vital sign tracking tool instead. This MCP is for deep, predictive risk assessment; it’s not general monitoring.
Common Questions About Framingham Risk MCP
What inputs does the risk calculator need? +
The system requires several key metrics, including age, sex, total cholesterol, HDL-C, systolic blood pressure, smoking status, and diabetes diagnosis. The calculate_ten_year_risk tool uses all these inputs to generate a comprehensive score.
Is the calculated risk a definitive diagnosis? +
No. The score is an estimation based on medical formulas and population data. Always consult a healthcare professional. Tools like calculate_ten_year_risk provide predictive metrics, not diagnoses.
What is 'vascular age' and how is it calculated? +
Vascular age estimates the apparent wear and tear on your arteries, independent of chronological age. The estimate_vascular_age tool uses cholesterol ratios, blood pressure, and age to calculate this value, giving a deeper picture of your cardiovascular health.
How is my data protected when running calculate_ten_year_risk? +
Your inputs are processed through a zero-trust proxy. Vinkius only uses credentials in transit; they never sit on disk, keeping your sensitive health metrics secure.
What should I do if the estimate_vascular_age tool returns an error? +
If you get an error, check that every required field is present and formatted correctly. The system will return a specific code detailing exactly which piece of data caused the failure.
How can I run both calculate_ten_year_risk and estimate_vascular_age in one workflow? +
You connect your agent once from any MCP-compatible client. Your AI can then chain calls to execute both the risk score calculation and the vascular age estimate sequentially.
Are there limits when I run many checks with calculate_ten_year_risk? +
The platform includes a financial circuit breaker. You set an explicit budget, and the system prevents any AI agent from overspending regardless of how many tool calls you make.
If I update my health metrics next year, does calculate_ten_year_risk remember previous data? +
No. The MCP runs against the specific parameters you pass it at that time. For longitudinal tracking, your agent just needs to provide the most current set of metrics for a fresh calculation.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
