Irish weather
Check available national, regional and local forecast information, present observations and active weather warnings.
Irish weather and marine data,
inside your AI.
Ask Claude or ChatGPT a practical question about Irish weather, sea conditions, surf, tides or farm work. The MCP checks the latest available data first and brings the relevant pieces back into one clear answer.
28 weather and sea tools20 tide stations3 data sourcesPlain-language answers
See the live MCP example ↗
What it does.
The Ireland Weather & Sea AI MCP connects an AI assistant to weather and marine tools rather than asking the model to rely on memory. It can combine forecasts, observations, warnings, tides, buoy readings, storm-surge information and farming data to help answer a real decision question.
Irish sea conditions
Review the available Irish sea weather forecast and Met Éireann sea area forecast alongside marine warnings, tides, waves, coastal reports and buoy observations.
Surfing forecast context
Compare wind, waves, tides, sea temperature and warnings when considering a surf location or teaching window.
Farming forecast context
Review rainfall, wind, drying conditions, soil information and the farming forecast before weather-sensitive work.
Questions people can ask.
The useful part is not another page of separate weather numbers. It is being able to describe the decision in ordinary language and have the AI gather the relevant data.
Surf school
“Can we run beginner lessons in Lahinch tomorrow morning, or should we move the booking?”Checks waves, wind, tides, sea temperature and warnings.
Beach planning
“What is the best two-hour beach window near Galway today, considering tide, wind and UV?”Checks tide timing, forecast conditions, marine warnings, sea temperature and UV.
Farm work
“Is Friday a sensible spray day near Kilkenny, and what could make it unsuitable?”Checks rainfall, wind, farming commentary, drying and relevant forecast signals.
Coastal risk
“Are tide and surge conditions creating any coastal-flooding concern around Dublin Port?”Checks available tide, surge, coastal and warning information while clearly flagging uncertainty.
How the MCP works.
MCP stands for Model Context Protocol. It provides a controlled way for an AI application to discover and call external tools. In this project, the AI chooses the relevant weather or marine tools, receives structured results and uses those results to explain the answer.
You ask a decision question
The request can mention a location, activity, timeframe and concern—without needing API syntax or meteorological terminology.
The AI selects the relevant tools
It may need several sources: for example a weather forecast, a marine warning, tide predictions and buoy observations.
Official Irish sources are prioritised
Available Met Éireann and Marine Institute data is checked first. Open-Meteo fills defined gaps such as UV, sun times and some surf-location forecasts.
The evidence is combined
The AI compares the returned timestamps, locations, conditions and warnings instead of treating one number as the complete answer.
You receive a plain-English explanation
The answer can describe the best available window, the reasons, important uncertainty and the official information that should be checked.
Data behind the example.
This independent MCP demonstrates how public and open datasets can become useful inside an AI workflow. Source availability, update times and coverage differ by tool.
Met Éireann
Weather forecasts, observations, warnings, farming information and available marine products.
Marine Institute
Available tide, buoy, wave and coastal monitoring information for Irish waters.
Open-Meteo
Additional forecast coverage for UV, sunrise and sunset times, and defined surf-location gaps.
MCP tools
Twenty-eight focused tool calls expose structured data to Claude, ChatGPT and other compatible AI clients.
Safety note: This is an independent technical demonstration, not an official forecasting or warning service. Never rely on an AI summary alone for safety-critical marine, flooding, farming or outdoor decisions. Check current official warnings and forecasts directly with Met Éireann, the Marine Institute and the relevant authorities.
Why this matters for businesses.
The same pattern can connect AI to operational data in other sectors: give the assistant controlled tools, use authoritative sources, keep the retrieved evidence visible and return an answer built around the user’s decision.
Less searching
Bring information from several specialist feeds into one workflow instead of manually checking separate pages.
Better context
Combine location, timing, warnings and activity-specific conditions rather than returning an isolated forecast.
Traceable sources
Make it clearer which live tools and datasets informed an AI-generated answer.
Reusable architecture
Apply the same MCP approach to finance, operations, logistics, property, compliance or internal company systems.
MCP development
Have useful data that should work inside AI?
I design MCP connectors and AI tools that turn APIs and operational data into controlled, practical workflows for Claude, ChatGPT and other compatible clients.
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