Open Data

Met Office Land Observations MCP Server

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Access real measured weather observations from the Met Office's UK ground station network. Get hourly actual readings (temperature, wind, humidity, pressure, visibility, weather type) from ~150 stations across the UK, covering the past 48 hours. Complements forecast data with ground-truth measurements.

3 tools
Agent guide included
API Key
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AI Skill
SKILL.md

Domain knowledge for Met Office Land Observations — workflow patterns, data models, and gotchas for your AI agent.

Met Office Land Observations

Real measured weather data from ~150 UK ground stations, updated hourly. This is ground-truth data (what actually happened), not forecasts (what might happen).

Data Model

  • Geohash-based stations — each station is identified by a 6-character geohash
  • 48-hour window — observations from the past 48 hours
  • 9 parameters per hour — temperature, humidity, pressure, wind speed, wind gust, wind direction, visibility, weather code, pressure tendency

Key Parameters

  • temperature — air temperature (°C)
  • humidity — relative humidity (%)
  • mslp — mean sea level pressure (hPa)
  • wind_speed — wind speed (knots)
  • wind_gust — wind gust speed (knots)
  • wind_direction — compass direction (N, NNE, NE, etc.)
  • visibility — visibility distance (metres)
  • weather_code — WMO significant weather code (0-30)
  • pressure_tendency — R (rising), F (falling), S (steady)

Two-Step Workflow

To get observations for a location:

  1. Find nearest station — provide latitude/longitude, get back the station geohash
  2. Get observations — use the geohash to retrieve 48h of hourly readings

The tools handle this automatically — provide lat/lon and get observations directly, or find the nearest station first if you need the station metadata.

Gotchas

  • UK only — stations cover the UK mainland and some islands. No global coverage.
  • ~50km spacing — stations are ~50km apart. Rural areas may be far from a station.
  • Some stations don't report all parameters — missing values are omitted from the response.
  • Separate API key — requires its own DataHub subscription (Land Observations), different from the forecast (Global Spot) key.
  • Header auth — key goes in apikey header, same as the forecast API.

Tools in this Server (3)

Mo Find Nearest Station

Find the nearest Met Office weather observation station to a UK location. Returns the station's geohash identifier, area name, region, and country. Us...

Mo Get Observations

Get the past 48 hours of actual measured weather observations from a Met Office UK ground station. Returns hourly readings of temperature, humidity, p...

Mo Observations By Location

Get the past 48 hours of actual measured weather observations for a UK location. Automatically finds the nearest Met Office ground station and returns...

Frequently Asked Questions

What is the Met Office Land Observations MCP server?

Access real measured weather observations from the Met Office's UK ground station network. Get hourly actual readings (temperature, wind, humidity, pressure, visibility, weather type) from ~150 stations across the UK, covering the past 48 hours. Complements forecast data with ground-truth measurements. It provides 3 tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect Met Office Land Observations to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/met-office-observations. Authentication is handled automatically.

How many tools does Met Office Land Observations provide?

Met Office Land Observations provides 3 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.

What authentication does Met Office Land Observations require?

Met Office Land Observations uses API Key. Met Office Land Observations requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect Met Office Land Observations to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/met-office-observations

What is MCP?

Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.

Use this bundle in 3 steps

  1. Copy the MCP URL above
  2. Open your AI tool and add a new MCP/connector
  3. Paste the URL and follow any auth prompts

Claude Desktop Users

Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.

Pick your tool tab for exact steps

Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.

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Met Office Land Observations MCP Server & Skill — 3 Tools