- DATA
- RELATIONS
- LOGIC
- HUMAN
Short answer
How can I use my AI to get data from Wikidata?
Your AI translates your questions into SPARQL queries to pull specific facts and relationships from the Wikidata graph. You get structured results instead of just reading text. This allows you to build custom datasets through conversation.
The results you get
What your queries produce
The AI handles the technical heavy lifting of the knowledge graph.
DATA
Structured datasets
The AI pulls specific properties and values from Wikidata. You receive organized information ready for analysis or use in other tools.
RELATIONS
Mapped connections
The AI traverses the graph to find how entities relate. You can find indirect connections between people, places, or objects.
LOGIC
Complex filtering
The AI applies specific constraints to the search. You can narrow down results by dates, types, or specific attributes.
HUMAN
Query refinement
You review the results to ensure the logic holds. If the data isn't quite right, you tell the AI to adjust the query parameters.
The workflow
What your AI does when the query arrives.
The AI acts as the bridge between your intent and the SPARQL engine.
Translate intent
Your AI interprets your natural language request and identifies the necessary Wikidata entities and properties.
execute_sparqlBuild SPARQL
The AI writes the specific query required to navigate the knowledge graph and find the exact data points you asked for.
execute_sparqlFetch data
The AI runs the query against the Wikidata endpoint to retrieve the raw relational data.
execute_sparqlFormat results
The AI takes the raw graph output and turns it into a readable format or a structured list for you.
execute_sparql
Try it
Copy these to start.
Use these prompts to begin pulling data.
Starting points
These are examples. Swap out the specific entities or properties to match what you actually need.
Wikidata Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_W84JNbFgMiFDqgSOAzXVMSCHncfEanhMXyqzOlEz/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Wikidata capabilities are ready to use.
{
"mcpServers": {
"wikidata-mcp": {
"url": "https://edge.vinkius.com/vk_preview_W84JNbFgMiFDqgSOAzXVMSCHncfEanhMXyqzOlEz/mcp"
}
}
}Find all cities in France with a population greater than 500,000.
List the chemical elements that are gases at standard temperature and pressure.
Get a list of all movies directed by Christopher Nolan released after 2000.
What are the properties of the protein BRCA1 according to Wikidata?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Wikidata once, then ask.
Follow the link to connect the MCP. Your credentials stay encrypted, and you can immediately start querying from your preferred client.
Connect Wikidata to your AIFAQ
How this task behaves
- 01
Can the AI edit Wikidata entries?
No. The AI can only read and query existing data using SPARQL. It cannot change or delete information on Wikidata.
- 02
Does the AI write the SPARQL code itself?
Yes. The AI generates the query based on your request and executes it through the tool.
- 03
Can I export the data to a CSV file?
The AI can format the data into a table or a list within your chat, but it cannot directly write files to your local hard drive.
- 04
What happens if the query is too broad?
The AI will attempt to run the query, but you might get a massive amount of data. You should add more constraints to your prompt to narrow the results.
- 05
Can the AI perform math on the results?
Yes. Once the AI has retrieved the structured data, you can ask it to calculate averages, sums, or other metrics based on those values.
More questions about Wikidata? The Connector page answers them. See everything the Wikidata Connector can do
Connect Wikidata to Claude, Cursor, ChatGPT & more
