How to Use the WHO Athena API MCP in Vercel AI SDK
Real-Time Global Health Data Streams into your Vercel AI SDK Frontends.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up WHO Athena API MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 WHO Athena API tools. Pass them directly togenerateText()orstreamText()— 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.
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.
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lower AI costs
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Common questions about WHO Athena API MCP in Vercel AI SDK
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