# GRACE Score Calculator MCP > The GRACE Score Calculator determines a patient's acute coronary syndrome risk using nine clinical inputs. It computes a weighted score and maps that number to immediate, actionable risk categories. This helps predict both short-term in-hospital survival chances and long-term mortality probability for care teams. ## Overview - **Category:** cardiology - **Price:** Free - **Tags:** grace-score, acute-coronary-syndrome, mortality-prediction, risk-stratification, cardiology ## Description When a patient presents with signs of Acute Coronary Syndrome (ACS), clinicians can't rely on just looking at vital signs; they need a standardized way to assess overall risk. This MCP provides that structure, taking clinical data points like age, heart rate, blood pressure, and lab results to compute a reliable GRACE score. The tool goes beyond the raw number, assigning an actionable risk level—Low, Intermediate, or High—and estimating both immediate in-hospital danger and long-term survival chances. You connect this MCP through Vinkius to your AI client, giving your agent access to established medical guidelines for precise patient stratification. Instead of sifting through multiple protocols, you get a single, data-driven view that helps care teams prioritize resources immediately. ## Tools ### calculate_grace_score Computes the foundational GRACE risk score using a patient's vitals and clinical parameters. ### get_risk_category Maps the resulting numerical score to an actionable, clinically defined risk category and recommendation. ## Prompt Examples **Prompt:** ``` 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. ``` **Response:** ``` 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. ``` **Prompt:** ``` 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. ``` **Response:** ``` 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. ``` **Prompt:** ``` What are the critical parameters for the calculator? ``` **Response:** ``` The core calculation relies on inputting vitals like SBP, HR, and lab results (creatinine/troponin) via `calculate_grace_score` to generate the initial score. ``` ## Capabilities ### Compute initial risk score Calculates the foundational GRACE numerical score by processing a patient's vitals and lab results. ### Classify immediate risk level Assigns an actionable clinical category (Low, Intermediate, or High) based on the calculated score. ### Estimate short-term survival Predicts a patient's probability of surviving the current hospital stay. ### Determine long-term prognosis Provides an estimate of 6-month mortality risk based on established clinical metrics. ## Use Cases ### Triage in the Emergency Department An ER physician needs to rapidly assess an incoming patient with chest pain. They feed the vitals into the MCP, which first runs `calculate_grace_score`. The resulting score is immediately passed through `get_risk_category`, telling them whether this patient requires immediate cardiac intervention or if observation is sufficient. ### Discharge Planning A cardiologist needs to plan a follow-up for a stable ACS patient. They use the MCP to determine the long-term prognosis, ensuring the patient's risk score warrants specific lifestyle changes or follow-up testing before they leave the facility. ### Consulting on Complex Cases A clinical team reviews a patient with mixed symptoms. They input all nine vitals into `calculate_grace_score` to establish a baseline score, then use `get_risk_category` to provide the necessary context for their treatment plan. ### Comparing Treatment Options Before approving invasive procedures, a physician runs two scenarios through the MCP. By comparing the risk category outputs from both treatments, they can make an informed decision based on predicted patient outcomes. ## Benefits - Standardized Assessment: Stop manual calculations. Use `calculate_grace_score` to generate a weighted score based on established guidelines, ensuring every patient is assessed identically. - Dual Prognosis View: Get more than just an immediate number. The MCP estimates both in-hospital and six-month mortality probabilities for complete care planning. - Immediate Triage Guidance: Use `get_risk_category` to instantly move past a raw score and get a clear, actionable risk designation (Low, Intermediate, or High). - Resource Prioritization: Care teams can use the comprehensive results to allocate staff and resources exactly where they're needed most. - Efficiency Over Time: The process cuts out time spent cross-referencing multiple clinical protocols, giving you a single source of truth for risk. ## How It Works The bottom line is you get an immediate, comprehensive view of the patient's acute and long-term prognosis using standardized medical calculations. 1. Input nine core patient parameters, including age, heart rate, systolic blood pressure, and troponin levels. 2. The system first uses the raw vitals to compute a weighted composite GRACE risk score (0-100). 3. It then takes that score, maps it to a specific risk category, and estimates both in-hospital and six-month mortality probabilities. ## Frequently Asked Questions **What kind of patient data does calculate_grace_score need?** It requires nine core clinical parameters, including age, heart rate (HR), systolic blood pressure (SBP), creatinine level, Killip class, cardiac arrest status, ST deviation, and troponin concentration. **Does the GRACE Score Calculator predict only short-term outcomes?** No. The tool calculates both immediate in-hospital mortality probabilities and estimates for 6-month mortality risk, providing a comprehensive view of prognosis. **How do I interpret the output from get_risk_category?** The function maps the score to an explicit category (Low, Intermediate, or High) and provides clinical recommendations for that specific level of risk. **Is this useful if my patient is stable?** Yes. Even for stable patients, running the assessment helps define a baseline risk profile. It guides necessary follow-up care or preventative resource allocation. **If I use `calculate_grace_score` and input data that falls outside the standard clinical range, what error message do I receive?** The system will return a specific validation failure. Before calculating the score, it checks inputs like age or blood pressure against established medical norms to ensure data integrity. **After running `calculate_grace_score`, how do I get actionable clinical recommendations?** You must call `get_risk_category` next. This second function takes the raw score and maps it to a defined risk level, providing immediate care suggestions based on that classification. **Can `calculate_grace_score` compute a risk estimate if I am missing one of the nine core clinical parameters?** No. To maintain accuracy, the calculation requires all specified inputs—age, HR, SBP, creatinine, etc.—since the score uses a weighted model across every parameter. **Is patient data submitted to `calculate_grace_score` handled securely for clinical use?** Yes. The API adheres to strict guidelines for managing Protected Health Information (PHI). All submissions are encrypted and processed using industry-standard security protocols. **What inputs are required for the GRACE score calculation?** 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. **Does the tool provide more than just a numerical score?** No. The system uses `get_risk_category` to translate the raw score into an actionable risk category (Low, Intermediate, High), providing immediate clinical recommendations and estimated mortality ranges for both hospital stay and six months post-discharge. **Is this tool suitable for all patients with chest pain?** The GRACE score is designed specifically for Acute Coronary Syndrome (ACS) patients. While the `calculate_grace_score` tool can accept general vital signs, clinical interpretation must be done by a qualified medical professional.