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Query Wikidata with SPARQL to retrieve structured facts and entity relationships.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Wikidata Sparql" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-wikidata-sparql' 'https://gateway.pipeworx.io/wikidata-sparql/mcp'
Use Wikidata SPARQL to find which awards Marie Curie received, and return the award name, date received, and item link.
A structured list of awards with names, dates, and Wikidata links.
Use Wikidata SPARQL to retrieve the 20 most populous cities in Germany, including city name, population, and coordinates, sorted by population descending.
A sortable data table of cities with names, populations, coordinates, and ranking.
Use Wikidata SPARQL to retrieve Albert Einstein's education, occupations, and main fields of work, then organize them into a relationship list.
A relationship list showing the person's background and key knowledge connections.
Query and retrieve structured knowledge data through the Wikidata API.
Query Wikipedia-derived structured data for entity lookup and knowledge analysis.
Search Wikidata entities, run SPARQL queries, and resolve external identifiers.
Let AI query semantic data through SPARQL endpoints with caching and flexible outputs.
Query EU legislation and CJEU case law for legal research and analysis.
Verify simple factual claims via Wikidata with accuracy and confidence scores.