dannet

DanNet - Danish WordNet with rich lexical relationships and SPARQL access.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
79%
Qualität der Benennung
93%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,513Tokens (Tool-Definitionen)
~772 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.18% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "dannet": {
      "url": "https://wordnet.dk/mcp"
    }
  }
}

Remote-Endpunkte

https://wordnet.dk/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢get_word_synsets(word)

The synsets (senses) of the Danish `word`, as JSON-LD entries with @id (e.g. "dn:synset-3047" for get_entity_info), skos:definition, dns:ontologicalType and wn:lexfile. A word with a single synset gives that synset's full JSON-LD as the only entry.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "word": {
      "title": "Word",
      "type": "string"
    }
  },
  "required": [
    "word"
  ],
  "title": "get_word_synsetsArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "result": {
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "title": "Result",
      "type": "array"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_word_synsetsOutput"
}
🟢get_entity_info(identifier)

Full JSON-LD of a DanNet resource: a synset ("synset-3047"), word ("word-11021628") or sense ("sense-21033604"), given bare or prefixed ("dn:synset-3047"), or an external resource by prefix ("ili:i76470", "ontolex:LexicalConcept"). Properties use prefixed names (wn:hypernym, ontolex:isEvokedBy, ...); language-tagged values are {"@value": ..., "@language": ...}.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "identifier": {
      "title": "Identifier",
      "type": "string"
    }
  },
  "required": [
    "identifier"
  ],
  "title": "get_entity_infoArguments"
}
🟢get_word_overview(word)

Every sense of the Danish `word` in one call: a list with synset_id, label, definition, lexfile, ontological_types, synonyms (words sharing the synset) and hypernym ({synset_id, label} or null) per synset. Only synsets where the word itself has a sense count, not multi-word expressions containing it.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "word": {
      "title": "Word",
      "type": "string"
    }
  },
  "required": [
    "word"
  ],
  "title": "get_word_overviewArguments"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "result": {
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "title": "Result",
      "type": "array"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_word_overviewOutput"
}
⚪autocomplete_danish_word(prefix, max_results)

Danish words starting with `prefix` (at least 3 characters), at most `max_results`, as {"autocompletions": [...]} where lemmas are plain strings and inflected forms of a matching lemma are [lemma, form] pairs.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "prefix": {
      "title": "Prefix",
      "type": "string"
    },
    "max_results": {
      "default": 10,
      "title": "Max Results",
      "type": "integer"
    }
  },
  "required": [
    "prefix"
  ],
  "title": "autocomplete_danish_wordArguments"
}
🟢fetch_ddo_definition(synset_id)

The full definitions of `synset_id` from DDO (ordnet.dk), where DanNet's own skos:definition may be truncated. Follows the dns:source of each sense. Returns the DanNet definition, the DDO definitions found and any errors; DDO and DanNet have drifted apart, so some source URLs no longer resolve.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "synset_id": {
      "title": "Synset Id",
      "type": "string"
    }
  },
  "required": [
    "synset_id"
  ],
  "title": "fetch_ddo_definitionArguments"
}
🟡sparql_query(query, timeout, max_results, distinct, inference)

Run a SPARQL SELECT `query` against DanNet and return standard SPARQL JSON results ({"head": ..., "results": {"bindings": [...]}}). The common prefixes (dn, dns, dnc, dnf, wn, ontolex, lexinfo, skos, rdfs, rdf, owl, marl, dc, ili, en, enl, cor) are declared automatically. `timeout` is in ms (max 15000), `max_results` at most 100, `distinct` adds DISTINCT, and `inference` selects the model: None tries the base model and retries with inference on an empty result; True forces inference, which inverse relations like wn:hyponym and wn:holo_* need; False forces the base model. Performance rules: anchor every query on a known URI or a word lookup (dn:synset-3047 wn:hypernym ?x, never ?x wn:hypernym ?y alone); never FILTER(CONTAINS(...)) over all labels, look the word up first; make every triple pattern share a variable with another; add LIMIT; prefer VALUES over FILTER for several known URIs; the store also holds the English WordNet (en:), so anchor on dn: or "..."@da to stay in Danish. Templates: Synsets of a word: SELECT DISTINCT ?synset ?label WHERE { ?entry ontolex:canonicalForm/ontolex:writtenRep "hund"@da . ?entry ontolex:sense/ontolex:isLexicalizedSenseOf ?synset . ?synset rdfs:label ?label } Taxonomic ancestors: SELECT DISTINCT ?ancestor ?label WHERE { dn:synset-3047 wn:hypernym+ ?ancestor . ?ancestor rdfs:label ?label } Hyponyms (needs inference=True, or query the inverse wn:hypernym): SELECT DISTINCT ?hyponym ?label WHERE { ?hyponym wn:hypernym dn:synset-3047 . ?hyponym rdfs:label ?label } Ontological types (an RDF bag): SELECT ?type WHERE { dn:synset-3047 dns:ontologicalType/?pos ?type . FILTER(STRSTARTS(STR(?pos), STR(rdf:_))) } Taxonomic similarity (dnf:path, dnf:lch, dnf:wup score two synsets of the same language and part of speech, 1.0 for identical): SELECT ?synset ?score WHERE { ?synset a ontolex:LexicalConcept . FILTER(STRSTARTS(STR(?synset), STR(dn:))) BIND(dnf:wup(dn:synset-3047, ?synset) AS ?score) } ORDER BY DESC(?score) LIMIT 20

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "timeout": {
      "default": 8000,
      "title": "Timeout",
      "type": "integer"
    },
    "max_results": {
      "default": 100,
      "title": "Max Results",
      "type": "integer"
    },
    "distinct": {
      "default": true,
      "title": "Distinct",
      "type": "boolean"
    },
    "inference": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Inference"
    }
  },
  "required": [
    "query"
  ],
  "title": "sparql_queryArguments"
}

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