EPA AirNow MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EPA AirNow through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using EPA AirNow, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About EPA AirNow MCP Server
The EPA AirNow MCP Server connects your AI agent to the beating heart of environmental tracking. Gather deep insights into regional air safety, allowing proactive mitigation of respiratory risks and wildfire smoke exposure.
The Vercel AI SDK gives every EPA AirNow tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Core Capabilities
- Real-Time AQI Observations — Instantly check current pollutant levels (Ozone, PM2.5, PM10) to determine if the local air is safe to breathe today.
- Regional Forecasts — Look ahead to anticipate upcoming hazardous environmental conditions, enabling dynamic safety planning for events or communities.
- Flexible Targeting — Pinpoint any community instantly using standard postal codes or exact geographic coordinates to get a tight observation radius.
The EPA AirNow MCP Server exposes 3 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect EPA AirNow to Vercel AI SDK via MCP
Follow these steps to integrate the EPA AirNow MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 3 tools from EPA AirNow and passes them to the LLM
Why Use Vercel AI SDK with the EPA AirNow MCP Server
Vercel AI SDK provides unique advantages when paired with EPA AirNow through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same EPA AirNow integration everywhere
Built-in streaming UI primitives let you display EPA AirNow tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
EPA AirNow + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EPA AirNow MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EPA AirNow in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EPA AirNow tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EPA AirNow capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EPA AirNow through natural language queries
EPA AirNow MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect EPA AirNow to Vercel AI SDK via MCP:
get_current_aqi_by_latlon
Get real-time Air Quality Index observation using geographic coordinates
get_current_aqi_by_zip
Requires a 5-digit US ZIP Code. Get current real-time Air Quality Index observation using a US ZIP code
get_forecast_aqi_by_zip
Get future AQI forecasts for a given US ZIP code
Example Prompts for EPA AirNow in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EPA AirNow immediately.
"What is the current air quality index in Beverly Hills?"
"Will the air quality be safe for a marathon in Seattle tomorrow?"
"Fetch the PM10 specific metrics for ZIP code 90210 safely via AirNow."
Troubleshooting EPA AirNow MCP Server with Vercel AI SDK
Common issues when connecting EPA AirNow to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEPA AirNow + Vercel AI SDK FAQ
Common questions about integrating EPA AirNow MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect EPA AirNow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect EPA AirNow to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.