How to Use the Harvard WHO Health MCP in Vercel AI SDK

Q: How do I use the Harvard WHO Health server with the Vercel AI SDK to show immunization rates?

Your AI client can call the getimmunization tool with a shortcut like "measles" or a specific WHO indicator code. The Vercel AI SDK will stream the time-series data, which you can then render into a chart in your React or Next.js application.

Q: Can I compare life expectancy across several countries in my Next.js app?

Yes. Have your agent call the comparecountries tool with a list of ISO codes (e.g., "USA,CAN,MEX") and the indicator for life expectancy. The data for all countries will be returned for you to display.

Q: What's the best way to let users search all Harvard WHO Health indicators with the Vercel AI SDK?

Use the searchindicators tool. Pass your user's search term to it. The tool returns a list of matching indicator codes and descriptions that you can display, letting the user pick the exact metric they want to analyze.

Q: How does this MCP server handle different data dimensions like age or sex?

The getindicatordata tool returns data that can include disaggregation by sex. For more complex filtering, you can first check the getdimensions tool to see what breakdowns are available for a given indicator.

Stream WHO health data directly into your React components with the Vercel AI SDK. No spinners, just live results.

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Connect Harvard WHO Health MCP to Vercel AI SDK

Create your Vinkius account to connect Harvard WHO Health 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 Harvard WHO Health with Vercel AI SDK

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Build Live Health Dashboards

Stop forcing users to wait for a loading spinner. With this MCP server, you can stream WHO data directly into your frontend components. Your AI client can call `get_indicator_data` and you can render charts that draw themselves in real time as the data arrives. Imagine a user selecting a few countries. Your app calls `compare_countries` and immediately starts populating line graphs for `get_life_expectancy` or `get_maternal_health`. The Vercel AI SDK makes this straightforward, turning static reports into living dashboards that react instantly.

Create Interactive Indicator Explorers

Let your users find the exact data they need without friction. As they type a query like "tuberculosis", your AI client can use `search_indicators` to fetch matching WHO indicator codes. The results stream directly into a dropdown or list in your UI. Once the user selects an indicator, your agent can immediately call another tool like `get_tuberculosis` or `get_ncd` to fetch the time-series data. This creates a fast, conversational interface for exploring a massive dataset, all powered by your AI client and this MCP server.

Real-time Country Data with the Vercel AI SDK

Give users the power to compare health outcomes on the fly. Your AI client can take a list of countries and a specific health metric, then use tools like `get_health_expenditure` or `get_immunization` to pull the relevant numbers. Because the Vercel AI SDK streams the tool output, your UI can build comparison tables or side-by-side charts that fill in as the data is fetched. It's a much better experience than waiting for a full API response before showing anything.

Setup guide

Set up Harvard WHO Health 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 Harvard WHO Health 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 Harvard WHO Health transactions",
});

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

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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 WHO GHO. 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.

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Common questions about Harvard WHO Health MCP in Vercel AI SDK

Your AI client can call the `get_immunization` tool with a shortcut like "measles" or a specific WHO indicator code. The Vercel AI SDK will stream the time-series data, which you can then render into a chart in your React or Next.js application.

Yes. Have your agent call the `compare_countries` tool with a list of ISO codes (e.g., "USA,CAN,MEX") and the indicator for life expectancy. The data for all countries will be returned for you to display.

Use the `search_indicators` tool. Pass your user's search term to it. The tool returns a list of matching indicator codes and descriptions that you can display, letting the user pick the exact metric they want to analyze.

The `get_indicator_data` tool returns data that can include disaggregation by sex. For more complex filtering, you can first check the `get_dimensions` tool to see what breakdowns are available for a given indicator.

This server only processes public health data from the WHO, so no personal or private information is ever involved. Each request runs in an ephemeral, zero-trust sandbox on Vinkius, and your connection is secured with a single endpoint token.

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