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Wikexa Knowledge

com.wikexa/knowledge
Wissen & Dokumentation Suche & Recherche Öffentlich und erreichbar MCP 2026-07-28

Was dieses MCP kann

Searches and retrieves structured information from Wikipedia, Wikidata, Wiktionary, and OpenAlex academic metadata.

article
The full text of an article, for when lookup()'s summary is not enough — sections as a JSON array, infobox as key/value facts, no HTML or wikitext to parse. Pass `sections` to pull only the parts you need (e.g. ["Early life"]) and `max_chars` to cap the payload; both exist because a long article will otherwise flood your context.
Eingabeschema
{'type': 'object', 'required': ['title'], 'properties': {'title': {'type': 'string', 'description': 'Article title, alias, or Q-id.'}, 'corpus': {'enum': ['wikipedia', 'wikiquote', 'wikibooks', 'wikivoyage', 'wikiversity'], 'type': 'string', 'description': 'Which corpus to read from. Defaults to wikipedia.'}, 'sections': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Optional section names to include (substring match, case-insensitive). Omit for the whole article.'}, 'max_chars': {'type': 'integer', 'description': 'Optional cap on total section text returned.'}}}
define
What a word means, in thousands of languages — 8.15M dictionary entries with senses, part of speech, etymology and pronunciation. Covers what a general model is weakest at: historical languages (Old English, Gothic, Ancient Greek, Middle French) and hundreds of regional and indigenous ones. A single spelling often has entries in many languages and you get all of them — `hund` returns Danish, Gothic, Icelandic, Middle English and more — or pass `language` to narrow, `pos` for one part of speech. Use this for words and lookup() for things: define("java") gives the word in eight languages, lookup("Java") gives the island.
Eingabeschema
{'type': 'object', 'required': ['word'], 'properties': {'pos': {'type': 'string', 'description': 'Optional part of speech filter, e.g. "Noun", "Verb", "Adjective".'}, 'word': {'type': 'string', 'description': 'The word or phrase to define.'}, 'language': {'type': 'string', 'description': 'Optional language name as Wiktionary spells it, e.g. "English", "Latin", "Spanish".'}}}
lookup
Facts about any named thing — person, company, place, species, event, concept. Returns structured fields (dates, identifiers, relationships) plus a ~200-token summary, drawn from 10.2M entity records. Prefer this over fetching an encyclopedia page: the HTML costs ~15,000 tokens to recover ~500 tokens of fact. Resolves aliases and Wikidata Q-ids, so "Apple", "Apple Inc" and "Q312" all reach the same entity. Free, no key.
Eingabeschema
{'type': 'object', 'required': ['entity'], 'properties': {'corpus': {'enum': ['wikipedia', 'wikiquote', 'wikibooks', 'wikivoyage', 'wikiversity'], 'type': 'string', 'description': 'Which corpus to look in. Defaults to wikipedia. Use wikivoyage for travel guides, wikiquote for quotations, wikibooks for textbooks, wikiversity for course material.'}, 'entity': {'type': 'string', 'description': 'Entity name, Wikipedia title, alias, or Wikidata Q-id (e.g. "Tim Cook", "Q312").'}}}
papers
Academic paper metadata from 27M+ works — title, abstract, authors, citations, DOI and open access URL. Covers every field: CS, medicine, physics, economics, biology, and more. Browse by OpenAlex topic ID and year, or filter by keywords in title/abstract. Returns papers sorted by citation count. Source: OpenAlex (CC0 metadata). Use this when the user needs scholarly references, citation counts, or research context that Wikipedia does not cover.
Eingabeschema
{'type': 'object', 'properties': {'year': {'type': 'integer', 'description': 'Publication year to filter on, e.g. 2023.'}, 'limit': {'type': 'integer', 'description': 'Maximum papers to return, 1-20 (default 5).'}, 'query': {'type': 'string', 'description': 'Keywords to match in title and abstract (all terms must appear). Combines with topic to narrow results.'}, 'topic': {'type': 'string', 'description': 'OpenAlex topic ID, e.g. "T10135" (Machine Learning), "T10461" (Quantum Computing). Required unless query is very specific.'}}}
recent
What changed in the last hours or days — the escape hatch for facts newer than your training cutoff. Reach for this whenever the answer could have moved since you were trained: elections, appointments, acquisitions, releases, deaths, records. Returns titles with timestamps and edit comments; resolve any of them with lookup(). Pass `topic` to filter and `hours` to widen the window up to a week.
Eingabeschema
{'type': 'object', 'properties': {'hours': {'type': 'integer', 'description': 'Look-back window in hours, 1-168 (default 24).'}, 'limit': {'type': 'integer', 'description': 'Maximum changes, 1-100 (default 25).'}, 'topic': {'type': 'string', 'description': 'Optional case-insensitive filter on title or edit comment.'}}}
search
Find the right title when you only have a partial name or a rough description. Returns ranked {title, wikidata_id, description, summary_snippet}; ranking blends text relevance with monthly pageviews and follows redirects, so abbreviations land on the real article — "usa" returns United States, "jfk" returns John F. Kennedy, "apple" returns Apple Inc. rather than a disambiguation page. Searches every corpus at once unless you pass `corpus`. Follow up with lookup() for facts or article() for the text.
Eingabeschema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'description': 'Maximum results, 1-50 (default 10).'}, 'query': {'type': 'string', 'description': 'Free-text search query.'}, 'corpus': {'enum': ['wikipedia', 'wiktionary', 'wikiquote', 'wikibooks', 'wikivoyage', 'wikiversity'], 'type': 'string', 'description': 'Restrict to one corpus. Omit to search all of them at once, which is usually what you want when you do not know where the answer is.'}}}
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papers
17. September 2026 12:38
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recent
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search
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define
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article
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lookup
17. September 2026 12:38