# Wikexa Knowledge Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Wikexa Knowledge

Search Wikipedia, Wiktionary, and academic papers as structured data without HTML parsing.

- Record: https://musedirectory.ai/connector/wikexa-knowledge
- Category: Research & Data
- Developer: Wikexa (https://wikexa.com)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 3479ms, checked 2026-09-28T09:15:49Z
- Endpoint: https://wikexa.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T21:45:35Z)
- Source: Found in the official MCP Registry (com.wikexa/knowledge) https://registry.modelcontextprotocol.io/v0/servers?search=com.wikexa%2Fknowledge

Connects to Wikipedia, Wikidata, Wiktionary, and OpenAlex to retrieve facts about entities, article text, word definitions in multiple languages, and academic paper metadata. Muse can answer questions, verify information, and find research citations.

Example request: "Tell me about the history of the internet and find recent academic papers on network security."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Wikexa Knowledge to help me. It is a free service with an MCP server at https://wikexa.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- 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 t
- 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 becaus
- 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 indig
- 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 
- 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 ed
- 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

Screening checks:
- MCP handshake: pass (Answered in 876ms)
- Domain against threat feeds (Cloudflare security DNS): pass (wikexa.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (6 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)