How to Use the EPA Envirofacts (Environmental Data) MCP in Google ADK

Q: Can I restrict which tools my Google ADK agent sees?

You use the toolnames filter to expose only the relevant functions. This prevents your agent from accessing unnecessary endpoints and keeps your toolset clean.

Integrate EPA Envirofacts (Environmental Data) into your Google ADK enterprise workflows.

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Connect EPA Envirofacts (Environmental Data) MCP to Google ADK

Create your Vinkius account to connect EPA Envirofacts (Environmental Data) to Google ADK 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 Envirofacts (Environmental Data) with Google ADK

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Vertex AI integration via Google ADK

Feed live UV forecasts into your Gemini-powered agents using `uv_daily_city_state` or `uv_hourly_city_state`. Your agents can now reason over environmental exposure alongside your BigQuery datasets. This connection bridges the gap between public government data and your private enterprise records. You get a unified view of location-based risk without managing external API connections manually.

Scale facility analysis with Google ADK

Utilize `graphql_query` to fetch high-volume facility data for your analytical agents. Your agents pull exactly what they need from the EPA repository and store the results in your cloud environment. This method keeps your agent's context clear and focused. By targeting `rest_query` for specific tables, you avoid unnecessary data overhead while maintaining high-fidelity environmental records.

Geospatial reasoning in Google ADK

Enable your agents to make informed decisions based on local UV data retrieved via `uv_daily_zip`. Your system correlates this with existing infrastructure data to prioritize maintenance or safety operations. This toolset maps directly to your agent's tool-calling capabilities. It's a direct pipeline from the EPA data source into your Google Cloud infrastructure, ready for production deployment.

Setup guide

Set up EPA Envirofacts (Environmental Data) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with EPA Envirofacts (Environmental Data) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="EPA Envirofacts (Environmental Data)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EPA Envirofacts (Environmental Data) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EPA Envirofacts. 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 Envirofacts (Environmental Data) MCP in Google ADK

You instantiate an McpToolset using the server URL. This allows your agent to interact with the EPA data tools as if they were native functions within the Google ecosystem.

It excels at handling large datasets by allowing you to filter tools and manage the data stream. Your agent can query specific facility tables or UV metrics on demand.

The server uses ephemeral connections for every data request. No persistent storage exists on the server side, ensuring your agent only handles the data it explicitly asks for during a session.

You use the tool_names filter to expose only the relevant functions. This prevents your agent from accessing unnecessary endpoints and keeps your toolset clean.

Yes. The server runs as an MCP endpoint that your ADK-based agent reaches via HTTP. It fits right into your existing CI/CD pipelines and deployment patterns.

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