Is the environmental tracking completely real-time?

Yes! The system taps directly into the active observation corridors of the Environmental Protection Agency, gathering insights exactly as they are reported by local atmospheric sensors.

How does it help people with asthma or sensitivities?

The agent retrieves exact pollutant indices and maps them into clear categories, letting users instantly know when it is dangerous for sensitive groups to engage in outdoor activities.

Are the geographic queries limited by zip code only?

No, you can query locations by ZIP code to find immediate reporting areas, or use exact latitude/longitude coordinates to pull the closest station parameters precisely.

EPA AirNow MCP Server for LlamaIndex 3 tools — connect in under 2 minutes

Name: EPA AirNow
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 3 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EPA AirNow as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to EPA AirNow. "
            "You have 3 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in EPA AirNow?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine EPA AirNow tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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.

Ideal for health-conscious applications, community dashboards, outdoor adventure planners, and risk assessment workflows tailored to individuals with sensitivities like asthma.

The EPA AirNow MCP Server exposes 3 tools through the Vinkius. Connect it to LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the EPA AirNow MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from EPA AirNow

Why Use LlamaIndex with the EPA AirNow MCP Server

LlamaIndex provides unique advantages when paired with EPA AirNow through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine EPA AirNow tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain EPA AirNow tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query EPA AirNow, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what EPA AirNow tools were called, what data was returned, and how it influenced the final answer

EPA AirNow + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the EPA AirNow MCP Server delivers measurable value.

Hybrid search: combine EPA AirNow real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query EPA AirNow to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying EPA AirNow for fresh data

Analytical workflows: chain EPA AirNow queries with LlamaIndex's data connectors to build multi-source analytical reports

EPA AirNow MCP Tools for LlamaIndex (3)

These 3 tools become available when you connect EPA AirNow to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting EPA AirNow to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

EPA AirNow + LlamaIndex FAQ

Common questions about integrating EPA AirNow MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query EPA AirNow tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.