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Query Wikipedia-derived structured data for entity lookup and knowledge analysis.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Dbpedia" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-dbpedia' 'https://gateway.pipeworx.io/dbpedia/mcp'
Use Dbpedia to query structured information about Albert Einstein. Return his birth date, birth place, occupation, and main fields, then summarize them as bullet points in English.
Returns key attributes of the person in a clear bullet-point summary.
Use Dbpedia Lookup to search for "Paris", list the 5 most relevant entities, and indicate whether each one is a city, person, or another concept.
Provides a ranked list of candidate entities with types for quick disambiguation.
Use Dbpedia SPARQL to find 10 highly rated science fiction films released after 2010. Return the title, director, release year, and abstract in a table.
Generates a structured table of key film information for further analysis.
Query and retrieve structured knowledge data through the Wikidata API.
Enable AI to query knowledge graphs via SPARQL and return structured results.
Access Wikipedia in structured ways for search, summaries, images, and links.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.
Explore corporate database metadata, relationships, dependencies, and export UML diagrams.
Inspect database schemas, index issues, table bloat, and query plans.