EPA Envirofacts (Environmental Data) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Graphql Query, Rest Query, Uv Daily City State, and more

Name: EPA Envirofacts (Environmental Data)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect EPA Envirofacts (Environmental Data) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The EPA Envirofacts (Environmental Data) MCP Server for OpenAI Agents SDK is a standout in the Government Public Data category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="EPA Envirofacts (Environmental Data) Assistant",
            instructions=(
                "You help users interact with EPA Envirofacts (Environmental Data). "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from EPA Envirofacts (Environmental Data)"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 Envirofacts (Environmental Data) MCP Server

Connect to the EPA Envirofacts database to query a wealth of environmental information directly from the United States Environmental Protection Agency.

The OpenAI Agents SDK auto-discovers all 6 tools from EPA Envirofacts (Environmental Data) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries EPA Envirofacts (Environmental Data), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

UV Index Forecasts — Retrieve hourly and daily UV Index forecasts by ZIP code or City/State to monitor solar radiation levels.
Facility Research — Query the Toxic Release Inventory (TRI) and Superfund (SEMS) databases to find environmental records for specific sites.
Advanced Data Exploration — Use GraphQL to perform complex queries, aggregations, and cross-table analysis across the EPA's DMAP API.
Flexible REST Queries — Search any table in the Envirofacts database with custom filters, operators, and pagination.
Public Data Access — Access official government records on air, water, and waste without complex registration.

The EPA Envirofacts (Environmental Data) MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 EPA Envirofacts (Environmental Data) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to EPA Envirofacts (Environmental Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning environmental-data, uv-index, toxic-release, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

graphql

Graphql query on EPA Envirofacts (Environmental Data)

Query EPA Envirofacts using GraphQL

rest

Rest query on EPA Envirofacts (Environmental Data)

Use program.table format (e.g., tri.tri_facility). Query EPA Envirofacts REST API

Uv daily city state on EPA Envirofacts (Environmental Data)

Get daily UV Index forecast by City and State

Uv daily zip on EPA Envirofacts (Environmental Data)

Get daily UV Index forecast by ZIP code

Uv hourly city state on EPA Envirofacts (Environmental Data)

Get hourly UV Index forecast by City and State

Uv hourly zip on EPA Envirofacts (Environmental Data)

Get hourly UV Index forecast by ZIP code

Connect EPA Envirofacts (Environmental Data) to OpenAI Agents SDK via MCP

Follow these steps to wire EPA Envirofacts (Environmental Data) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from EPA Envirofacts (Environmental Data)

Why Use OpenAI Agents SDK with the EPA Envirofacts (Environmental Data) MCP Server

OpenAI Agents SDK provides unique advantages when paired with EPA Envirofacts (Environmental Data) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

EPA Envirofacts (Environmental Data) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the EPA Envirofacts (Environmental Data) MCP Server delivers measurable value.

Automated workflows: build agents that query EPA Envirofacts (Environmental Data), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries EPA Envirofacts (Environmental Data), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through EPA Envirofacts (Environmental Data) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query EPA Envirofacts (Environmental Data) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for EPA Envirofacts (Environmental Data) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with EPA Envirofacts (Environmental Data) immediately.

"What is the hourly UV forecast for ZIP code 90210?"

"Search the 'sems.envirofacts_site' table for facilities in the city of 'Miami'."

"Run a GraphQL query to count TRI facilities by state."

Troubleshooting EPA Envirofacts (Environmental Data) MCP Server with OpenAI Agents SDK

Common issues when connecting EPA Envirofacts (Environmental Data) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

EPA Envirofacts (Environmental Data) + OpenAI Agents SDK FAQ

Common questions about integrating EPA Envirofacts (Environmental Data) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.