Integrate Wikidata with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate statement on Wikidata
Requires OAuth 2.0 Access Token. Create a new statement for an Item
Execute sparql on Wikidata
Use hint:Query hint:optimizer "None" if queries timeout. Execute a SPARQL query
Get item on Wikidata
g., Q42) via the Wikibase REST API. Retrieve a specific Wikidata Item
Get item statements on Wikidata
Retrieve statements for a Wikidata Item
Get similarity score on Wikidata
Compute similarity between text and an entity
Search items vector on Wikidata
Hybrid vector/keyword search for Items
Search properties vector on Wikidata
Hybrid vector/keyword search for Properties
Set item description on Wikidata
Requires OAuth 2.0 Access Token. Set an Item description
Security & Code Integrity Audit
Every tool in the Wikidata MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
How can I find a Wikidata Item if I don't know its Q-ID?
You can use the search_items_vector tool. It performs a hybrid search using high-dimensional embeddings and keywords to find the most relevant entities based on your natural language description.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What can AI Agents do with Wikidata?
The Wikidata integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Seamless knowledge graph Integration
Use Wikidata to interface with knowledge graph via natural language. The toolkit provides Cursor with LLM-friendly schemas for the unthinkable tasks.
Intelligent sparql Management
Connect Wikidata to your AI agents (Claude, ChatGPT, Cursor) to manage sparql operations. The MCP server processes the underlying API requests and schema formatting for the the unthinkable domain.
Wikidata. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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