Wikexa

by nlapi

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Description

Knowledge your AI agent can actually afford to read. Every time your agent looks something up, it pays for about 15,000 tokens of markup to recover roughly 500 tokens of fact. You are billed for all of it — the navigation, the citation scaffolding, the edit links — and then your…

About

Knowledge your AI agent can actually afford to read. Every time your agent looks something up, it pays for about 15,000 tokens of markup to recover roughly 500 tokens of fact. You are billed for all of it — the navigation, the citation scaffolding, the edit links — and then your model throws it away. Wikexa did that…

Details

Author
nlapi
Categories
Productivity

Setup

Install Wikexa in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/nlapi/wikexa

Follow the installation instructions in the repository README, then restart your MCP client.

Structured knowledge for AI agents.Wikipedia, Wikidata and Wiktionary as clean JSON instead of HTML. ~30x fewer tokens than fetching the page yourself.

- MCP endpoint:https://wikexa.com/mcp
- Registry:com.wikexa/knowledge
- Homepage:
wikexa.com
- Agent guide:
wikexa.com/agents
- Docs:
wikexa.com/docs
- llms.txt:
wikexa.com/llms.txt

An agent fetchingen.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. Onelookup()call here returns the facts directly.

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

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
curl -s 'https://wikexa.com/v1/lookup?entity=Tim%20Cook'
{ "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" }
claude mcp add --transport http wikexa https://wikexa.com/mcp
{ "servers": { "wikexa": { "type": "http", "url": "https://wikexa.com/mcp" } } }
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."}}}'

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

Served from the Cloudflare edge. 5–12ms warm with zero storage operations. Verify with thex-wikexa-opsresponse header.

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

article()takessectionsandmax_chars. Ask for the section you need rather than the whole article. Empty fields are omitted from all responses to minimize token usage.

Wikipedia text isCC BY-SA 4.0— every response carrieslicenseandsource_url. Wikidata facts areCC0. 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.

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