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How to Use the WHO Athena API MCP in Vercel AI SDK

Real-Time Global Health Data Streams into your Vercel AI SDK Frontends.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect WHO Athena API MCP to Vercel AI SDK

Create your Vinkius account to connect WHO Athena API 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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Fetch Specific Indicator Metrics

The `get_health_indicator_data` tool pulls specific global statistics using a defined WHO health indicator code. When you call this from your Vercel AI SDK frontend, the data streams directly into the UI. Users see the metrics appearing in real-time; there’s no loading spinner delay. This mechanism works perfectly for building user-facing dashboards. You can display time series data or compare country trends instantly as the AI agent retrieves it.

Discover Available Data Dimensions

Need to know what variables you can track? Use `list_health_dimensions` to get a list of all observation dimensions, like available countries or years. This tells your application which metadata fields are valid for querying. It’s essential context when building forms. You check the output first so your client-side code knows exactly what parameters it needs to send back through the MCP tool.

Query Global Indicator Lists

Start by calling `list_health_indicators` whenever you need a full catalog of available WHO health indicators. This function gives your AI client the entire list, letting it know what data sets exist. Your agent reads this output and recommends relevant codes to the user's UI. You’re building an interactive tool that guides users through massive global datasets.

Setup guide

Set up WHO Athena API 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all WHO Athena API tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 WHO Athena API transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WHO Athena. 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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WHO Athena API MCP in Vercel AI SDK

Call the `check_api_status` tool. It gives an immediate signal about whether the WHO GHO Athena service is operational right now. You use this status check in your client setup to prevent showing stale data or broken features.
The server handles global health indicators and associated metrics, including country codes, years, and specific dimensions. The core data type you're interacting with is the structured global health indicator dataset.
Yes. Simply execute the `list_health_indicators` tool call. This returns a comprehensive array of every unique indicator code present in the WHO GHO database, letting your agent build out its internal knowledge.
Absolutely. Because it’s designed for frontends like Next.js, the MCP tool results stream directly into the UI layer as they arrive from the server, giving a live feel.
It touches global health indicator data. This includes structured metrics tied to specific codes, country dimensions, and years of observation.

Start using the WHO Athena API MCP today

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