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How to Use the UK Environment Agency MCP in Google ADK

Build enterprise flood monitoring agents with Google ADK for the UK Environment Agency.

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Google ADK

Connect UK Environment Agency MCP to Google ADK

Create your Vinkius account to connect UK Environment Agency 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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Analyzing Flood Warnings using MCP Server

To check active warnings, you run `list_floods` through your agent. This gets a list of every current flood warning from the UK Environment Agency. It's a quick way to map out where water is rising. If you need specifics on one alert, calling `get_flood` gives you all the parameters necessary for deep analysis inside Vertex AI.

Mapping EA Stations with Google ADK

Start by getting a list of every available monitoring station using `list_stations`. This provides the foundation for your project. You'll see the location and basic status fields for each point. Later, use `get_station` to dive into one specific site. Your agent can then correlate that detailed data with other sources in BigQuery.

Getting Measurement Configuration Details

The tool `list_measures` lists all the types of measurements tracked by the UK Environment Agency, giving you scope context. You see what data *can* be monitored. For actual setup details on a specific metric, call `get_measure`. This fetches targeted configuration parameters, helping your agent understand how to interpret the raw readings.

Setup guide

Set up UK Environment Agency 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. 1

    Install Google ADK

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

  2. 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. 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. 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 UK Environment Agency 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="UK Environment Agency_agent",
    model="gemini-2.0-flash",
    instruction="You have access to UK Environment Agency tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UK Environment Agency. 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 UK Environment Agency MCP in Google ADK

You let your LlmAgent run `list_floods` to see all active warnings. This is usually the first step, allowing you to triage alerts before drilling down with `get_flood`.
The agent starts by calling `list_stations` to get all monitoring points. Then, it uses `get_station` to retrieve detailed metadata on a single site. All this information is structured for BigQuery integration.
Yes. Run `list_station_readings` and pass in an ID. This gives your agent the most current water level data associated with a monitored station, letting you act on real numbers.
The `list_hydrology_stations` tool lets you see globally saved measurement locations. You can then use `get_hydrology_station` to pull explicit parameters, linking your Gemini agent directly to that data.
The server handles flood warnings and station readings. You'll get access to list IDs for stations (`list_stations`) and detailed measurement parameters via `get_measure`.

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