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Wikexa Knowledge

REMOTE · WIKEXA.COM

Wikipedia, Wikidata and Wiktionary as clean JSON, not HTML. 1.9M searchable. Free, no auth.

Available components

0 this week 70 Trust /100

Last scanned (1 hour ago)

Scores higher than 55% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Education and Research

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security46
Transport & Reachability100
Schema Quality & AI Usability67
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1281 tokens (~213/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities40
  • Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Aug 26 0
    • Stability: 0.97 → pass security
  • 28 Aug 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Schema quality: 1007 → 1241 ▼ functional
    • New tool “papers” functional
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 7 Aug 26 0
    • Tool “article” rewrote its description, which is the text the model reads security
    • Tool “define” rewrote its description, which is the text the model reads security
    • Tool “lookup” rewrote its description, which is the text the model reads security
    • Tool “recent” rewrote its description, which is the text the model reads security
    • Tool “search” rewrote its description, which is the text the model reads security
    • Schema quality: 168 → 201 ▼ functional
    • Server version: 1.1.0 → 1.1.1 functional
  • 4 Aug 26 0
    • Server version: 1.0.0 → 1.1.0 functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://wikexa.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=wikexa.com CN=WE1,O=Google Trust Services,C=US 28 Sept 2026 27 Dec 2026 ECDSA 256 ECDSA-SHA256 8878c60b93b4ddb913f41c9670448d1c
SANs: wikexa.com, *.wikexa.com
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of wikexa.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
wikexa.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://wikexa.com/mcp Verified 200
http (plaintext) http://wikexa.com/mcp Served over HTTP 200
MCP tools · 6 exposed · ~1,131 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
article ~160

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.

NameTypeReqDescription
corpusstring–Which corpus to read from. Defaults to wikipedia.
max_charsinteger–Optional cap on total section text returned.
sectionsarray–Optional section names to include (substring match, case-insensitive). Omit for the whole article.
titlestringyesArticle title, alias, or Q-id.

No output schema declared.

No examples provided.

define ~213

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.

NameTypeReqDescription
languagestring–Optional language name as Wiktionary spells it, e.g. "English", "Latin", "Spanish".
posstring–Optional part of speech filter, e.g. "Noun", "Verb", "Adjective".
wordstringyesThe word or phrase to define.

No output schema declared.

No examples provided.

lookup ~183

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.

NameTypeReqDescription
corpusstring–Which corpus to look in. Defaults to wikipedia. Use wikivoyage for travel guides, wikiquote for quotations, wikibooks for textbooks, wikiversity for course material.
entitystringyesEntity name, Wikipedia title, alias, or Wikidata Q-id (e.g. "Tim Cook", "Q312").

No output schema declared.

No examples provided.

papers ~248

Academic paper metadata from 57M+ works — title, abstract, authors, citations, DOI and open access URL. Covers every field: CS, medicine, physics, economics, biology, and more. Search by keywords (e.g. "transformer attention"), by topic name (e.g. "machine learning"), or by OpenAlex topic ID. 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.

NameTypeReqDescription
limitinteger–Maximum papers to return, 1-20 (default 5).
querystring–Keywords to search for. Matches topic names to find the right research area, then filters by title and abstract. Example: "transformer attention", "CRISPR gene editing".
topicstring–Topic name or OpenAlex topic ID. Names are resolved automatically (e.g. "machine learning" → T10135). Use an ID like "T10135" if you already know it. Optional — query alone works.
yearinteger–Publication year to filter on, e.g. 2023.

No output schema declared.

No examples provided.

recent ~143

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.

NameTypeReqDescription
hoursinteger–Look-back window in hours, 1-168 (default 24).
limitinteger–Maximum changes, 1-100 (default 25).
topicstring–Optional case-insensitive filter on title or edit comment.

No output schema declared.

No examples provided.

search ~184

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.

NameTypeReqDescription
corpusstring–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.
limitinteger–Maximum results, 1-50 (default 10).
querystringyesFree-text search query.

No output schema declared.

No examples provided.

Install

How do I install the Wikexa Knowledge MCP server?

Wikexa Knowledge is a hosted endpoint at https://wikexa.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · wikexa.com

# add to Claude Code
claude mcp add --transport http com-wikexa-knowledge 'https://wikexa.com/mcp'
Common questions

What is the Wikexa Knowledge MCP server?

Wikexa Knowledge is an MCP server listed in the public MCP registry as com.wikexa/knowledge. Wikipedia, Wikidata and Wiktionary as clean JSON, not HTML. 1.9M searchable. Free, no auth. This page covers its hosted endpoint (https://wikexa.com/mcp).

Is the Wikexa Knowledge MCP server safe to use?

Wikexa Knowledge scores 70 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Wikexa Knowledge MCP server expose?

Wikexa Knowledge exposes 6 tools: lookup, article, define, search, recent, papers. Their descriptions and schemas cost roughly 1,131 tokens of context every time the server is loaded.

Does the Wikexa Knowledge MCP server require authentication?

No. We connected to Wikexa Knowledge without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Wikexa Knowledge MCP server still maintained?

Wikexa Knowledge is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.