How to Use the EPA ECHO (Enforcement & Compliance) MCP in Google ADK

Q: How do I connect the EPA ECHO (Enforcement & Compliance) MCP Server to Google ADK?

Install google-adk via pip. Wrap your Vinkius URL in StreamableHttpServerParameters, pass it to McpToolset, and assign that to your LlmAgent tools array.

Q: Can Google ADK filter EPA ECHO (Enforcement & Compliance) MCP Server tools?

You pass an array of strings to the toolnames parameter. This limits the agent to specific operations like searchwaterfacilities while hiding the rest.

Q: Does this setup work with Gemini's long context window?

The agent reads massive outputs from getdetailedfacilityreport directly into context. Gemini processes the entire history without chunking or losing details.

Q: Can I search for public water systems using EPA ECHO (Enforcement & Compliance) and Google ADK?

The searchdrinkingwatersystems endpoint handles this exact query. Your agent retrieves SDWA records and maps out active health-based violations.

Feed federal environmental data into Gemini using the EPA ECHO (Enforcement & Compliance) MCP Server for Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect EPA ECHO (Enforcement & Compliance) MCP to Google ADK

Create your Vinkius account to connect EPA ECHO (Enforcement & Compliance) 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.

GDPR Free for Subscribers

Setup EPA ECHO (Enforcement & Compliance) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Cross-reference EPA ECHO data in Google ADK

The `search_all_facilities` tool allows your Gemini-powered agent to query the entire federal environmental program database. You pull facility coordinates and match them against your internal BigQuery datasets. Connecting requires the `McpToolset` class to point at the MCP Server using `StreamableHttpServerParameters`. The agent uses Gemini's 1M+ token context window to ingest thousands of rows of compliance data at once.

Ingest massive facility compliance reports

Calling `get_detailed_facility_report` returns complete historical enforcement records for a single industrial site. Your AI client reads the raw text and extracts penalty timelines, consent decrees, and formal enforcement actions. You restrict access using the `tool_names` filter if you only want the agent to see specific endpoints. The system processes the lengthy federal documents natively, identifying systemic management failures across different sites.

Track Clean Air Act violations

The `search_air_facilities` tool targets stationary sources regulated under federal air quality standards. Your agent pulls active permit data and historical emission exceedances directly from the federal registry. Google ADK handles the routing between the LLM and the MCP Server. You ask the agent to find chronic violators in a specific zip code, and it executes the necessary API calls to build the final report.

Setup guide

Set up EPA ECHO (Enforcement & Compliance) 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 ECHO (Enforcement & Compliance) 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 ECHO (Enforcement & Compliance)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EPA ECHO (Enforcement & Compliance) tools via MCP.",
    tools=mcp_tools,
)

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 ECHO. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect EPA ECHO (Enforcement & Compliance) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about EPA ECHO (Enforcement & Compliance) MCP in Google ADK

Install `google-adk` via pip. Wrap your Vinkius URL in `StreamableHttpServerParameters`, pass it to `McpToolset`, and assign that to your `LlmAgent` tools array.

You pass an array of strings to the `tool_names` parameter. This limits the agent to specific operations like `search_water_facilities` while hiding the rest.

The agent reads massive outputs from `get_detailed_facility_report` directly into context. Gemini processes the entire history without chunking or losing details.

The `search_drinking_water_systems` endpoint handles this exact query. Your agent retrieves SDWA records and maps out active health-based violations.

The integration handles search parameters like zip codes, facility names, and permit IDs. Vinkius routes these requests through ephemeral, zero-trust server instances that drop all state the moment your connection drops.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript