datakilder-mcp
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TDQS
Scored across 47 tools
Most tools are grouped by source prefix and target a distinct resource (e.g., met_varsel vs met_farevarsel vs met_luftkvalitet), so an agent can usually tell them apart. A few close pairs require careful reading — udir_skole/udir_skoler and ssb_tabell_info/ssb_tabell_verdier are easy to mix up, and sted_kontekst overlaps with the single-source lookups it composes.
The dominant pattern is {source}_{topic}, which makes the namespace readable and predictable. However, the topic part mixes nouns and verbs (brreg_foretak vs brreg_søk, kart_finn vs kart_punkt), and Norwegian special characters are transliterated inconsistently (brreg_søk vs fdk_sok, kartverket_hoyde, udir_kompetansemaal).
47 tools is far beyond the 3–15 sweet spot and even the 16–25 'heavy' band, which burdens tool selection even though each source's subset is small. The broad 'Norwegian/Swedish public data' scope explains the count, but the surface could be consolidated without losing much.
The server covers its domain broadly: geocoding, height, weather, warnings, air quality, transport, companies, accounts, schools, statistics, road data, geology, species, and data catalog discovery, with meta tools (kilder, doctor) rounding out the surface. Minor gaps exist — e.g., no Norwegian historical weather observations and no generic reverse place lookup — but agents can work around them.