Wikexa Knowledge MCP Server

by wikexa Your server? Claim it

answering

Wikexa Knowledge is answering right now. Last checked 5 min ago. It exposes 6 tools.

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

Uptime history 47 days of history

47 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

302 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 27 August 2026. No other catalogue keeps this.

27 Aug a tool appeared papers

Nothing serious here today

Today is the operative word: we check Wikexa Knowledge every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add knowledge --transport http https://wikexa.com/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "knowledge": {
      "url": "https://wikexa.com/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.knowledge]
url = "https://wikexa.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "knowledge": {
      "url": "https://wikexa.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "knowledge": {
      "url": "https://wikexa.com/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

article

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.

define

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.

lookup

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.

papers

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.

recent

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.

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.

Endpoints

URL	Transport	State	Latency	Checked
https://wikexa.com/mcp	streamable-http	answering	312 ms	5 min ago

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Wikexa Knowledge — questions

Answers built from our own checks of this server.

What can Wikexa Knowledge do?

It exposes 6 tools, read directly from the server on our last check. Among them: article, define, lookup, papers, recent, search. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Wikexa Knowledge working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 302 ms. The bar chart above shows every period we have measured.

How do I connect Wikexa Knowledge?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Wikexa Knowledge need an API key?

No. Wikexa Knowledge completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Wikexa Knowledge?

It answers our handshake in 302 ms on average, which is faster than 50% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.