Agent
Discoverability
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Claude Connector

KULING

Actual weather and up to 7-day forecasts for any place in the Nordics and Europe, from KULING's multi-source weather engine.

View in the Claude registry
Brand
KULING
Category
Pending
Primary Subcategory
Pending
Integration details

Description

KULING (kulingapp.se) is a hyperlocal weather service covering the Nordics and Europe. It blends 40+ forecast and observation sources (Open-Meteo, SMHI, ECMWF, MET Norway, DMI, FMI, UK Met Office, measurement stations, radar and more) with self-learning, per-location nowcast correction to sharpen short-term accuracy beyond raw model output. This connector exposes two read-only tools: current weather conditions and a daily forecast (up to 7 days) for any named place or coordinates. It does not expose accounts, saved places, premium AI analysis or write access of any kind — it is public weather data only, with no login required. Requests are rate-limited (120/minute in total, with a separate 25/minute bucket for unauthenticated callers) to keep the service fair for everyone.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
KULING
Access
No account required
First tracked
2026-10-03
Tool count
2
Geography
US
Agent DiscoverabilityClaude Discoverability Score

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What discovery looks like

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce KULING has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

2 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

KULING Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve KULING's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.