How to Use the EPA AirNow MCP in Vercel AI SDK

Stream real-time EPA air quality data directly into your Vercel AI SDK frontends for live environmental monitoring.

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Connect EPA AirNow MCP to Vercel AI SDK

Create your Vinkius account to connect EPA AirNow 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 EPA AirNow with Vercel AI SDK

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Live AQI monitoring in Vercel AI SDK

Feed your UI real-time pollution data using `get_current_aqi_by_latlon`. Your users see the air quality change as the AI processes the stream, skipping the wait for static page refreshes. This MCP Server handles the raw data, allowing your React components to render charts or alerts instantly. The AI client maintains the connection, ensuring data flows without manual polling.

Geographic air quality lookups

Target specific locations using `get_current_aqi_by_zip` to pull precise readings. It's the fastest way to map environmental conditions for a specific region within your application. Your agent queries the EPA registry, processes the number, and feeds it back to the frontend. No extra middleware is required to bridge the gap between the EPA and your edge functions.

Automated environmental forecasting

Use `get_forecast_aqi_by_zip` to pull upcoming air quality trends into your app's dashboard. You can proactively show users what the air will look like tomorrow. This tool feeds the forecast data directly into your agent's context. Your AI client then interprets the trend, giving users actionable advice based on future conditions.

Setup guide

Set up EPA AirNow 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 EPA AirNow 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 EPA AirNow transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EPA. 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 EPA AirNow MCP in Vercel AI SDK

Install the MCP client package and connect via HTTP. Once connected, pass the tools to your generateText function to start streaming data.

Yes, it handles concurrent tool calls. You can trigger multiple location checks and stream the results to your UI simultaneously.

No, this server is strictly for current observations and future forecasts. Use it to build live monitoring tools rather than long-term databases.

Yes, the connection is ephemeral. Your API keys stay on the server side, and the data is only handled during the active session.

Your agent will receive an error response. You should implement basic error handling in your UI to alert users that the data is currently unavailable.

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