MCP For Claude Marketplace
DBpedia

DBpedia MCP Connector for Claude

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Access the world's largest open knowledge graph — execute SPARQL queries, lookup entities, and monitor Wikipedia updates in real-time.

8 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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Connect your AI agent to DBpedia, the structured heart of Wikipedia. This server allows you to perform complex semantic queries, resolve entities, and access real-time data updates from the global knowledge graph.

What you can do

  • SPARQL Queries — Execute powerful queries against the main DBpedia and DBpedia Live endpoints using query_sparql and query_live_sparql to extract structured data.
  • Entity Lookup — Search for resources using keywords or autocomplete prefixes with lookup_search and lookup_prefix to find specific Wikipedia entities.
  • Resource Inspection — Fetch full linked data (RDF, JSON-LD) for any DBpedia resource like cities, people, or events using get_resource.
  • Real-time Updates — Monitor recent Wikipedia changes with get_live_changes and retrieve the latest article data through get_live_resource.
  • Bulk Retrieval — Use retrieve_live_articles to extract data for multiple resources simultaneously.

How it works

  1. Subscribe to this server
  2. DBpedia is a public service; simply confirm your connection to the public endpoint
  3. Start querying the world's knowledge from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Researchers & Data Scientists — extract structured datasets from Wikipedia without manual scraping
  • Developers — enrich applications with global entity data and semantic relationships
  • AI Engineers — provide agents with a factual grounding source for general knowledge and real-time events
sparqlwikipedialinked-datasemantic-webknowledge-graph

8 tools expose this connector's capabilities to your AI agent.

get_resource

g., "Berlin") using content negotiation. Retrieve linked data for a specific DBpedia resource

lookup_search

Search for DBpedia resources using keywords

query_live_sparql

dbpedia.org/sparql for real-time Wikipedia updates. Execute a SPARQL query against the DBpedia Live endpoint

query_sparql

org/sparql. Max 10,000 rows. Execute a SPARQL query against the public DBpedia endpoint

retrieve_live_articles

Extract recent data for a list of resource names

get_live_changes

List change events from the DBpedia Live Sync API

get_live_resource

Retrieve the most recent data for a specific Wikipedia page

lookup_prefix

Autocomplete search for DBpedia resources

See how to talk to your AI agent using DBpedia.

Search for DBpedia resources related to 'Quantum Computing' using lookup_search.

I found several resources. The primary entity is 'Quantum_computing' (DBpedia Ontology: ScientificWork). Other related resources include 'Quantum_algorithm' and 'Qubit'. Would you like to inspect the properties of the main Quantum Computing resource?

Run a query_sparql to find all cities in Japan with more than 1 million inhabitants.

Querying DBpedia... I've retrieved a list of 12 cities. Notable results include Tokyo, Yokohama, Osaka, and Nagoya, along with their respective population counts and official DBpedia resource URIs.

Get the most recent data for the Wikipedia page 'Artificial Intelligence' using get_live_resource.

Fetching live data... The latest version of the 'Artificial Intelligence' resource includes updated links to recent developments in Large Language Models and neural network architectures. The data is synchronized with the latest Wikipedia edits.

Use the `query_sparql` tool. You can provide a standard SPARQL query string to filter and retrieve specific data from the DBpedia knowledge graph, such as lists of people, places, or specific properties.

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