GRACE Score Calculator API Connector for AI agents.
2 live capabilities
Predict acute coronary syndrome mortality and risk levels for cardiology patients.
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Why people use GRACE Score Calculator API
GRACE Score Calculator for Faster Cardiology Triage
This Connector changes that by letting your AI client do the heavy lifting. You just provide the numbers, and the capability spits out a clear risk category and mortality percentage. You get a standardized, data-driven view of the patient's prognosis immediately.
What Vinkius changes
That you turn raw patient vitals into a standardized mortality prediction in seconds.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Emergency Room Triage
A nurse provides a patient's vitals to the agent to see if they are high risk for immediate cardiac arrest using `calculate_grace_score`.
- Real-world use case 02
Long-term Planning
A cardiologist wants to know the 6-month mortality risk for a patient with a score of 78 to plan follow-up care.
- Real-world use case 03
Clinical Audit
A hospital administrator uses the capability to check if risk categories are being applied consistently across different departments.
Complete set · 2capabilities
The complete GRACE Score Calculator API capability set.
These are the exact actions your AI can choose when you ask it to work with GRACE Score Calculator API.
01—02
2 capabilities in this set.
Part of 2 available through GRACE Score Calculator API.
- 01 Capability
Calculate grace score
Computes a weighted risk score for ACS patients based on established medical guidelines. This helps you get a raw numerical value for a patient's condition.
- 02 Capability
Get risk category
Converts a raw GRACE score into a Low, Intermediate, or High risk category. It also provides specific clinical recommendations based on that category.
Set up in minutes
One URL. Then ask GRACE Score Calculator API to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use GRACE Score Calculator API from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it GRACE Score Calculator API, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable GRACE Score Calculator API for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the GRACE Score Calculator API URL.
- Step 03
Save and start
Save the connection and enable GRACE Score Calculator API in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"grace-score-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using GRACE Score Calculator API
Open Agent mode in chat and ask: "Using GRACE Score Calculator API, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"grace-score-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using GRACE Score Calculator API
Ask Copilot: "Using GRACE Score Calculator API, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"grace-score-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using GRACE Score Calculator API
Open Cascade and ask: "Using GRACE Score Calculator API, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"grace-score-calculator": {
"url": "https://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using GRACE Score Calculator API
Ask Cline: "Using GRACE Score Calculator API, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add grace-score-calculator --transport http "https://edge.vinkius.com/vk_preview_HYeTtzURqysRc2sZekym5U5t205c2jbn6Omm33VQ/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using GRACE Score Calculator API
Ask Claude: "Using GRACE Score Calculator API, show me...". 2 tools are ready
Where the request belongs
Work GRACE Score Calculator API can move forward.
This is for cardiology professionals and emergency medicine staff who need to make fast, accurate triage decisions for acute cardiac events.
Emergency Room Physician
Uses this to quickly triage ACS patients and decide on immediate treatment paths during a busy shift.
Cardiologist
Relies on this to stratify patient risk and plan long-term follow-up care for heart patients.
Clinical Researcher
Uses the standardized scoring to analyze patient outcomes and mortality in large-scale cardiology studies.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep GRACE Score Calculator API connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Cline -
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Before you connect
Questions about GRACE Score Calculator API.
The practical details behind the request, access and result.
What is the GRACE Score Calculator MCP?
It is a cardiology capability that calculates the GRACE risk score for patients with Acute Coronary Syndrome. It helps doctors predict mortality and categorize risk levels automatically.
Can this help in an emergency room setting?
Yes, it is designed for high-pressure environments like the ER to help with rapid triage by turning patient vitals into clear risk categories.
What specific patient data does the GRACE Score Calculator MCP need?
You need to provide vitals like heart rate, blood pressure, creatinine levels, and troponin concentrations, along with the patient's age and Killip class.
How does this capability predict mortality?
The Connector uses established medical lookup tables to provide specific percentages for both in-hospital and six-month mortality based on the calculated score.
Is this capability for all types of heart problems?
No, this specific MCP is for Acute Coronary Syndrome (ACS). It is not intended for chronic heart disease or non-cardiac emergencies.
How does the GRACE Score Calculator MCP improve triage?
It removes manual math from the equation. By providing a Low, Intermediate, or High risk category instantly, it helps care teams prioritize the most critical patients.
What inputs are required for the GRACE score calculation?
The calculate_grace_score capability 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 capability 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 capability suitable for all patients with chest pain?
The GRACE score is designed specifically for Acute Coronary Syndrome (ACS) patients. While the calculate_grace_score capability can accept general vital signs, clinical interpretation must be done by a qualified medical professional.
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