UK Environment Agency MCP. Get Real-Time Flood and Sensor Data

Yo, listen up. This MCP Server connects your AI client straight into DEFRA and the UK Environment Agency’s open data hub. You're getting immediate access to real-time hydrological network data—no manual authentication needed for the whole mess. It lets you manage complex water monitoring workflows with nothing but a few simple commands.

Checking Flood Status:
You need to know if there’s trouble? Run list_floods and you get a complete rundown of every active flood warning across the UK region. If you're looking for specifics—say, just one area—you use get_flood to retrieve immediate details about that single warning location or zone.

Monitoring Stations:
To see what’s physically monitoring the water, first run list_stations. This gives you a list of every active physical flood-monitoring station in the network. Once you've got an ID, you use get_station to pull deep data points about that specific monitoring point, including its exact location and parameters. If you only need the raw numbers right now, executing list_station_readings pulls the actual, time-stamped measurements—like water level or flow rate—for any station ID.

Diving into System Parameters:
Want to know what data is even being tracked? You start by running list_measures, which returns a list of every type of metric the Environment Agency tracks. If you need to understand how a specific environmental measurement works, you use get_measure to see exactly how that metric is configured for tracking.

For mapping out the whole system, run list_hydrology_stations to get a global roster of available saved hydrology measurement stations within the entire network. You can then drill down with get_hydrology_station to fetch explicit technical parameters for tracing any specific measurement line or hydrology trace.

The Bottom Line:
You're dealing with three core data sets here: 1) Alerts, which you nail down using the flood tools. 2) Physical Hardware, where list_stations, get_station, and list_station_readings give you everything from location to the last second reading. 3) The Data Schema Itself, which involves list_measures, list_hydrology_stations, and their corresponding 'get' functions, allowing your agent to understand the entire system’s structure.

This means you can get a full picture—from running list_floods for immediate alerts, checking station metadata with get_station, and pulling raw readings via list_station_readings all in one go. It's pure data access; it doesn't mess around with fluff.