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EPA Envirofacts (Environmental Data) MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Graphql Query, Rest Query, Uv Daily City State, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect EPA Envirofacts (Environmental Data) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The EPA Envirofacts (Environmental Data) MCP Server for Mastra AI 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

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typescript
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-envirofacts-environmental-data": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "EPA Envirofacts (Environmental Data) Agent",
    instructions:
      "You help users interact with EPA Envirofacts (Environmental Data) " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with EPA Envirofacts (Environmental Data)?"
  );
  console.log(result.text);
}

main();
EPA Envirofacts (Environmental Data)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and EPA Envirofacts (Environmental Data) tool infrastructure. Connect 6 tools through 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.

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 Mastra AI 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 Mastra AI

When Mastra AI 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

Uv daily city state on EPA Envirofacts (Environmental Data)

Get daily UV Index forecast by City and State

uv

Uv daily zip on EPA Envirofacts (Environmental Data)

Get daily UV Index forecast by ZIP code

uv

Uv hourly city state on EPA Envirofacts (Environmental Data)

Get hourly UV Index forecast by City and State

uv

Uv hourly zip on EPA Envirofacts (Environmental Data)

Get hourly UV Index forecast by ZIP code

Connect EPA Envirofacts (Environmental Data) to Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 6 tools from EPA Envirofacts (Environmental Data) via MCP

Why Use Mastra AI with the EPA Envirofacts (Environmental Data) MCP Server

Mastra AI provides unique advantages when paired with EPA Envirofacts (Environmental Data) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add EPA Envirofacts (Environmental Data) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every EPA Envirofacts (Environmental Data) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

EPA Envirofacts (Environmental Data) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the EPA Envirofacts (Environmental Data) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query EPA Envirofacts (Environmental Data), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed EPA Envirofacts (Environmental Data) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query EPA Envirofacts (Environmental Data) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using EPA Envirofacts (Environmental Data) tools alongside other MCP servers

Example Prompts for EPA Envirofacts (Environmental Data) in Mastra AI

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

01

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

02

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

03

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

Troubleshooting EPA Envirofacts (Environmental Data) MCP Server with Mastra AI

Common issues when connecting EPA Envirofacts (Environmental Data) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

EPA Envirofacts (Environmental Data) + Mastra AI FAQ

Common questions about integrating EPA Envirofacts (Environmental Data) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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