• LISTS
  • RELATIONS
  • RAW
  • HUMAN

How to extract structured datasets with your AI

Connect DBpedia to your AI client to turn the Wikipedia knowledge graph into a source for structured data. Once connected, you can query specific relationships and entity lists using natural language.

Ask AI about this page

Short answer

How can I pull structured data from Wikipedia using AI?

Your AI uses SPARQL queries to navigate the DBpedia knowledge graph. It finds specific entities and their connections, then formats them into the structured lists you need. You get clean data ready for analysis or further use.

Data outcomes

What you get from your queries

The specific ways your AI organizes the knowledge graph.

LISTS

Entity collections

The AI pulls large groups of related items, like all cities in a specific country or all scientists born in a certain decade.

RELATIONS

Connection maps

Get data on how things relate, such as which directors directed which movies or which authors wrote which books.

RAW

Filtered datasets

The AI applies specific filters to the knowledge graph to return only the exact attributes you asked for.

HUMAN

Data verification

You review the extracted lists to ensure the relationships match your specific research requirements before using them elsewhere.

The workflow

What your AI does when you ask for data.

The AI translates your intent into graph queries to fetch information.

  1. Identify targets

    The AI searches for the specific entities or topics you mentioned to find their unique identifiers in the graph.

    lookup_search

  2. Build queries

    It writes the SPARQL code needed to traverse the relationships between those entities.

    query_sparql

  3. Fetch data

    The AI executes the query against DBpedia to pull the requested properties and links.

    query_sparql

  4. Format results

    The raw graph data is turned into a readable, structured format like a list or a table.

    query_sparql

Try it

Copy these to start.

Use these prompts to begin your first extraction.

Starting points

Swap out the bracketed terms for the specific entities or properties you want to find.

DBpedia Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — DBpedia capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dbpedia-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pNhDXpufmvKT117EQMu8QGXrzb3zE0wbMXdJfU8I/mcp"
    }
  }
}
Copy into chat04

  • Find all movies released in 1994 that belong to the Sci-Fi genre using DBpedia.

  • List the names and birth years of all philosophers born in Germany.

  • Get a list of all cities in France that have a population over 500,000.

  • Identify all authors who won the Nobel Prize in Literature and list their most famous works.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect DBpedia once, then ask.

One click connects this MCP to your client. Your credentials stay encrypted, and you can start querying immediately.

Connect DBpedia to your AI

FAQ

How this task behaves

  • 01

    Can the AI edit Wikipedia directly?

    No. This MCP only reads data from the DBpedia knowledge graph. It cannot change or delete any information on Wikipedia.

  • 02

    Can I export these lists to a CSV file?

    The AI can format the data as a table or a list within your chat, but it cannot write files directly to your local hard drive.

  • 03

    Does the AI know about real-time news?

    No. It relies on the DBpedia knowledge graph, which is a structured version of Wikipedia. It doesn't have a live feed of breaking news.

  • 04

    How does the AI handle complex relationships?

    It uses SPARQL to follow links between entities, allowing it to find deep connections like directors of movies starring a specific actor.

  • 05

    Can I use this to find private information?

    No. The AI can only access information that is publicly available within the DBpedia knowledge graph.

  • More questions about DBpedia? See everything the DBpedia Connector can do

Connect DBpedia to Claude, Cursor, ChatGPT & more