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Vinkius

Wikidata Connector for AI agents.

8 live capabilities

Query the world's largest open knowledge graph for facts and structured data.

Live agent request Wikidata / Connector

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AI Agent

Why people use Wikidata

Fact-Checking with the Wikidata for AI Agents

This Connector lets your agent do that work for you. You can ask for a list of historical dates or complex relationships, and your agent pulls them directly from the Wikidata graph. You get a clean, verified list in your chat window instantly.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct pipeline to the world's largest open knowledge graph.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Verifying historical dates

    A researcher asks for the population of all cities in Brazil in 1950.

  2. Real-world use case 02

    Building a movie database

    A developer needs to find all actors who worked with Q42.

  3. Real-world use case 03

    Semantic product search

    A user asks for sustainable energy sources.

Complete set · 8capabilities

The complete Wikidata capability set.

These are the exact actions your AI can choose when you ask it to work with Wikidata.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 8 available through Wikidata.

  1. 01 Capability

    Get similarity score

    Compute similarity between a text string and a specific entity. This helps you rank how well a description matches a fact.

  2. 02 Capability

    Search items vector

    Perform a hybrid vector and keyword search for Items. It finds relevant entities based on context rather than just keywords.

  3. 03 Capability

    Search properties vector

    Perform a hybrid vector and keyword search for Properties. Use this to find specific attributes across the knowledge graph.

  4. 04 Capability

    Set item description

    Set an Item description using your credentials. This allows your agent to update the public description of a Wikidata entry.

Capability set02 / 02

05—08

4 capabilities in this set.

Part of 8 available through Wikidata.

  1. 05 Capability

    Get item statements

    Retrieve all statements for a specific Wikidata Item. Use this to get a full fact sheet on any entity.

  2. 06 Capability

    Get item

    Fetch a specific Wikidata Item via the Wikibase REST API. This is the quickest way to grab core data for a known ID.

  3. 07 Capability

    Create statement

    Create a new statement for an Item. Use this to add new facts to the knowledge graph when you have verified data.

  4. 08 Capability

    Execute sparql

    Execute a SPARQL query against the Wikidata Query Service. This lets you find complex patterns and data sets across the graph.

Set up in minutes

One URL. Then ask Wikidata to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Wikidata from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_W84JNbFgMiFDqgSOAzXVMSCHncfEanhMXyqzOlEz/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Wikidata, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Wikidata for the conversation.

Where the request belongs

Work Wikidata can move forward.

Built around the request

This is for anyone who needs to move past hallucinations and get hard facts. It's for the researcher who needs to verify dates, the data scientist who needs clean datasets, and the developer who needs to map out entity schemas.

01

Academic Researcher

Verifying historical dates and cultural relationships during a literature review.

02

Data Scientist

Pulling structured datasets for training models without leaving the chat interface.

03

Backend Developer

Finding property schemas and entity IDs to build out a data-rich application.

Bring your own AI

Change the model, client or framework. Keep Wikidata connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Wikidata.

The practical details behind the request, access and result.

What is the Wikidata MCP for AI Agents?

It's a capability that lets your AI client connect to the world's largest open knowledge graph. You can use it to pull real-world facts, run complex queries, and find data based on meaning.

Can I use the Wikidata MCP to update facts?

Yes, you can update descriptions or create new statements. You just need to provide an OAuth 2.0 token in your configuration to enable these write actions.

Does the Wikidata MCP support complex queries?

Yes, it supports SPARQL, which is the standard query language for the knowledge graph. This allows you to find complex relationships and specific datasets.

How does the Wikidata MCP help with research?

It lets you instantly verify dates, populations, and relationships. Instead of searching manually, your agent pulls verified data directly into your conversation.

Can my agent find things by meaning with the Wikidata MCP?

Yes, it includes vector search capabilities. This means your agent can find relevant items based on the context of your question rather than just looking for exact keywords.

What do I need to provide to get the Wikidata MCP working?

You just need to subscribe on Vinkius and provide a User Agent. If you want to edit data, you'll also need to add an OAuth 2.0 token.

How can I find a Wikidata Item if I don't know its Q-ID?

You can use the search_items_vector capability. It performs a hybrid search using high-dimensional embeddings and keywords to find the most relevant entities based on your natural language description.

Is it possible to run complex queries like 'List all female scientists born in the 19th century'?

Yes, the execute_sparql capability allows you to run any valid SPARQL query against the Wikidata Query Service. This is the most powerful way to filter and aggregate data across the entire knowledge graph.

Can I use this server to update information on Wikidata?

Yes, if you provide an OAuth 2.0 Access Token, you can use create_statement to add new data or set_item_description to update descriptions in various languages.

One connection away

Give your agent a direct line to Wikidata.

Connect Wikidata once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available