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Structured knowledge for AI agents — Wikipedia, Wikidata and Wiktionary as clean JSON. 1.9M searchable. Free, no auth.

0 starsOthers Updated Aug 5, 2026

Documentation

Wikexa

Structured knowledge for AI agents. Wikipedia, Wikidata and Wiktionary as

clean JSON instead of HTML. ~30x fewer tokens than fetching the page yourself.

Why

An agent fetching `en.wikipedia.org/wiki/Apple_Inc.` burns ~15,000 tokens of HTML

to recover ~500 tokens of facts. Wikipedia's own API returns wikitext, which is

barely better. One `lookup()` call here returns the facts directly.

Tools

ToolWhat it gives you
`lookup(entity, corpus?)`Structured facts + ~200-token summary. Resolves aliases and Q-ids.
`article(title, sections?, max_chars?, corpus?)`Full article as structured JSON — sections as an array, infobox as key/value. No HTML or wikitext.
`define(word, language?, pos?)`Dictionary definitions from Wiktionary — 8.15M entries across ~4,000 languages. Grouped by language, with etymology and pronunciation.
`search(query, limit?, corpus?)`Ranked matches blending relevance, pageviews, and exact-title matching. Up to 50 results.
`recent(topic?, hours?, limit?)`Recently changed articles — facts newer than your training cutoff.

Every tool is also a REST endpoint backed by the same handler:

code
GET https://wikexa.com/v1/lookup?entity=Tim%20Cook
GET https://wikexa.com/v1/article?title=Apple%20Inc.&sections=History
GET https://wikexa.com/v1/define?word=serendipity&language=English
GET https://wikexa.com/v1/search?query=quantum%20computing&limit=5
GET https://wikexa.com/v1/recent?topic=election

Example

bash
curl -s 'https://wikexa.com/v1/lookup?entity=Tim%20Cook'
json
{
  "title": "Tim Cook",
  "wikidata_id": "Q265852",
  "description": "American business executive (born 1960)",
  "summary": "Timothy Donald Cook is an American business executive...",
  "infobox": { "born": "1960-11-01", "education": "Auburn University; Duke University", "title": "CEO of Apple Inc." },
  "facts": { "occupation": "business executive", "employer": "Apple Inc.", "citizenship": "United States" },
  "related": ["Apple Inc.", "Steve Jobs", "iPhone"],
  "source_url": "https://en.wikipedia.org/wiki/Tim_Cook",
  "license": "Wikipedia text CC BY-SA 4.0; Wikidata facts CC0"
}

Connect

Claude Code / any MCP client:

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

Cursor / VS Code (`mcp.json`):

json
{
  "servers": {
    "wikexa": {
      "type": "http",
      "url": "https://wikexa.com/mcp"
    }
  }
}

Raw JSON-RPC:

bash
curl -s -X POST https://wikexa.com/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
       "params":{"name":"lookup","arguments":{"entity":"Apple Inc."}}}'

Discovery

PathWhat it serves
`/.well-known/mcp.json`MCP server metadata
`/.well-known/agent.json`Agent card
`/openapi.json`OpenAPI 3.1 spec
`/llms.txt`Plain-text orientation for LLMs
`/.well-known/oauth-authorization-server`Returns 404 — no auth required

Coverage

  • 476,616 encyclopedia articles (top by pageviews)
  • 10.2M Wikidata entity records
  • 8.15M Wiktionary dictionary entries (~4,000 languages)
  • 194,870 records from Wikiquote, Wikibooks, Wikiversity, Wikivoyage
  • 1.9M full-text searchable with pageview-weighted ranking

Performance

Served from the Cloudflare edge. 5–12ms warm with zero storage operations.

Verify with the `x-wikexa-ops` response header.

Pricing

Free for individuals and open-source projects. Commercial volume plans available

at wikexa.com.

Token control

`article()` takes `sections` and `max_chars`. Ask for the section you need

rather than the whole article. Empty fields are omitted from all responses to

minimize token usage.

Licensing

Wikipedia text is CC BY-SA 4.0 — every response carries `license` and

`source_url`. Wikidata facts are CC0. We add no restrictions on top of those

licences. Paid plans buy service capacity and support, never content rights.

Wikexa is not affiliated with the Wikimedia Foundation.

Frequently asked questions

What is wikexa?

wikexa is Structured knowledge for AI agents — Wikipedia, Wikidata and Wiktionary as clean JSON. 1.9M searchable. Free, no auth.

How do I install wikexa?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is wikexa open source?

Yes — it is hosted on GitHub at https://github.com/nlapi/wikexa.

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