EPA AirNow MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect EPA AirNow through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"epa-airnow": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "EPA AirNow Agent",
instructions:
"You help users interact with EPA AirNow " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with EPA AirNow?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and EPA AirNow tool infrastructure. Connect 3 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the EPA AirNow MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from EPA AirNow via MCP
Why Use Mastra AI with the EPA AirNow MCP Server
Mastra AI provides unique advantages when paired with EPA AirNow through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add EPA AirNow without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every EPA AirNow tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
EPA AirNow + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the EPA AirNow MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query EPA AirNow, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed EPA AirNow as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query EPA AirNow on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using EPA AirNow tools alongside other MCP servers
EPA AirNow MCP Tools for Mastra AI (3)
These 3 tools become available when you connect EPA AirNow to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting EPA AirNow to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEPA AirNow + Mastra AI FAQ
Common questions about integrating EPA AirNow MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect EPA AirNow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.