How to Use the EPA AirNow MCP in CrewAI

Deploy autonomous monitoring crews with CrewAI using real-time EPA AirNow data.

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Connect EPA AirNow MCP to CrewAI

Create your Vinkius account to connect EPA AirNow to CrewAI 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 CrewAI

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Perplexity

CrewAI agents reading AQI via coordinates

Assign an agent to monitor specific areas with `get_current_aqi_by_latlon`. The crew can compare readings from multiple sites to determine the best course of action. This tool gives your agents the eyes they need to monitor environmental health. Once the data is retrieved, your other agents can analyze it and decide if an intervention is necessary.

ZIP code data for CrewAI researchers

Let your research agent pull data using `get_current_aqi_by_zip` to build context for a report. It automates the data gathering phase so your crew spends time analyzing, not looking up numbers. The agent fetches the current status and shares it with the rest of the crew. This shared memory allows the whole team to stay aligned on the current air quality.

Forecasting for CrewAI operations

Use `get_forecast_aqi_by_zip` so your planning agent can predict operational impacts. The crew can decide to shift schedules or warn stakeholders before the air quality drops. This capability turns your crew into an autonomous monitoring unit. They use the forecast to refine their strategy without you needing to provide constant input.

Setup guide

Set up EPA AirNow MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke EPA AirNow tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="EPA AirNow Analyst",
    goal="Access and analyze EPA AirNow data via MCP.",
    backstory="Expert analyst with direct EPA AirNow access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent EPA AirNow transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="EPA AirNow Analyst",
        goal="Access and analyze EPA AirNow data via MCP.",
        backstory="Expert analyst with direct EPA AirNow access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent EPA AirNow transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Pass the server URL into your Agent configuration. Once connected, your agents can call the tools directly during their execution loop.

Yes, CrewAI agents share memory. Once one agent retrieves the AQI data, the rest of the crew can access it for their tasks.

Yes, you can restrict specific tools to specific agents. For example, only your 'monitor' agent needs access to these tools.

Your data is handled through an ephemeral MCP connection. No logs or records of your specific queries are kept by the server.

These requests are fast, but you should account for network latency in your agent's timeout settings. The tools are designed for quick, direct responses.

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