Wikipedia, Wikidata and Wiktionary as clean JSON, not HTML. 1.9M searchable. Free, no auth.
Inferido de los transportes que declara este listado (streamable-http). Que un cliente no aparezca aquí no significa que se haya descartado: simplemente Forge no puede confirmarlo.
La verificación confirma la identidad del publicador (la propiedad del repo), no la seguridad del código. El análisis de seguridad cubre los CVE conocidos y los scripts de instalación sospechosos.
Leído de un handshake MCP real initialize → tools/list contra el endpoint declarado. No se invocó ninguna herramienta: tools/list es la llamada de introspección de solo lectura que el protocolo define para esto. Refleja lo que el servidor anunciaba en ese momento; un endpoint alojado no está fijado a ninguna versión y puede cambiar sin avisar.
https://wikexa.com/mcp6 herramientas · 479 mslookupFacts 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 toke…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 toke…
| Parámetro | Tipo | Descripción |
|---|---|---|
| entity* | string | Entity name, Wikipedia title, alias, or Wikidata Q-id (e.g. "Tim Cook", "Q312"). |
| corpus | string | Which corpus to look in. Defaults to wikipedia. Use wikivoyage for travel guides, wikiquote for quotations, wikibooks for textbooks, wikiversity for course mat… |
articleThe 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 wi…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 wi…
| Parámetro | Tipo | Descripción |
|---|---|---|
| title* | string | Article title, alias, or Q-id. |
| sections | array | Optional section names to include (substring match, case-insensitive). Omit for the whole article. |
| max_chars | integer | Optional cap on total section text returned. |
| corpus | string | Which corpus to read from. Defaults to wikipedia. |
defineWhat 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 singl…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 singl…
| Parámetro | Tipo | Descripción |
|---|---|---|
| word* | string | The word or phrase to define. |
| language | string | Optional language name as Wiktionary spells it, e.g. "English", "Latin", "Spanish". |
| pos | string | Optional part of speech filter, e.g. "Noun", "Verb", "Adjective". |
searchFind 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…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…
| Parámetro | Tipo | Descripción |
|---|---|---|
| query* | string | Free-text search query. |
| limit | integer | Maximum results, 1-50 (default 10). |
| corpus | string | 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. |
recentWhat 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; resolv…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; resolv…
| Parámetro | Tipo | Descripción |
|---|---|---|
| topic | string | Optional case-insensitive filter on title or edit comment. |
| hours | integer | Look-back window in hours, 1-168 (default 24). |
| limit | integer | Maximum changes, 1-100 (default 25). |
papersAcademic 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. So…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. So…
| Parámetro | Tipo | Descripción |
|---|---|---|
| topic | string | OpenAlex topic ID, e.g. "T10135" (Machine Learning), "T10461" (Quantum Computing). Required unless query is very specific. |
| query | string | Keywords to match in title and abstract (all terms must appear). Combines with topic to narrow results. |
| year | integer | Publication year to filter on, e.g. 2023. |
| limit | integer | Maximum papers to return, 1-20 (default 5). |
6 de 6 herramientas publicaron una descripción.
Los nombres y descripciones de las herramientas los escribe el publicador y se muestran literalmente como texto inerte. Son las cadenas que un cliente MCP pasa al modelo, así que Forge las analiza en busca de patrones de inyección de prompts — cualquier hallazgo aparece junto al análisis de seguridad de arriba. «Privilegiada» es una coincidencia de palabra clave en el nombre de la herramienta, no una auditoría de lo que hace: un nombre inofensivo puede hacer cualquier cosa.
Wikipedia, Wikidata and Wiktionary as clean JSON, not HTML. 1.9M searchable. Free, no auth.
Los nombres enlazados abren el índice de Forge con todas las entradas que se observó que exponen esa herramienta. Ver todas las herramientas indexadas.
Esta entrada no publica ningún paquete de npm, así que Forge no tiene un árbol de dependencias para ella. Es una carencia de cobertura, no una afirmación de que no tenga dependencias.