How to Use the CHA₂DS₂-VASc & HAS-BLED Calculator MCP in Vercel AI SDK

See real-time risk scores in your UI with Vercel AI SDK.

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Connect CHA₂DS₂-VASc & HAS-BLED Calculator MCP to Vercel AI SDK

Create your Vinkius account to connect CHA₂DS₂-VASc & HAS-BLED Calculator to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CHA₂DS₂-VASc & HAS-BLED Calculator with Vercel AI SDK

Ask AI about this MCP

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Live Risk Scoring for Frontend Apps

When you call the MCP Server, results stream directly into the user interface. This means patients see their calculated stroke risk score instantly after inputting data. You'll get real-time updates when your agent runs the core calculation for atrial fibrillation (AFib) and bleeding risk, making the experience smooth and responsive.

Client-Side Risk Assessment via MCP Server

Need to run checks from a Next.js or Svelte page? Your agent can pull specific data points using `query_cha2ds2_vasc_score`. This lets you build complex forms where the risk metric updates as the user fills out fields. It's built for speed, so the results appear right in the stream, eliminating those annoying loading spinners.

Automating Clinical Recommendations

The process doesn't stop at scores. You can pass the resulting data to determine next steps. The tool `get_risk_recommendations` takes both calculated risks and spits out clear, actionable clinical guidance. This makes your front end smarter; it doesn't just show numbers—it tells the doctor what to do about them.

Setup guide

Set up CHA₂DS₂-VASc & HAS-BLED Calculator MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all CHA₂DS₂-VASc & HAS-BLED Calculator tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent CHA₂DS₂-VASc & HAS-BLED Calculator transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about CHA₂DS₂-VASc & HAS-BLED Calculator MCP in Vercel AI SDK

You call the MCP via your agent, and the scores stream back to your UI in real time. You don't wait for a final API response; you see the data appear as it's processed.

It handles structured patient health data, specifically risk factors and clinical measurements required for calculating stroke and bleeding scores.

Absolutely. Because it's Edge Function compatible, you can trigger these calculations in the background and display them when they finish processing.

Yes. All calls pass through a zero-trust proxy on Vinkius, meaning your keys are only used in transit and never saved to disk.

The client supports calling multiple tools sequentially. You can run the AFib score, then the bleeding score, and finally ask for a combined recommendation.

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