Compatible with every major AI agent and IDE
Get dataset details on data.world
Includes field definitions, file listings, tags, and license information. Get detailed information for a specific dataset
Get my profile on data.world
world. Returns profile attributes including username, display name, and account-level permissions. Retrieve metadata for the current authenticated user
Get project details on data.world
Resolves project members, associated objective, and the current status of linked resources. Get detailed information for a specific project
List dataset queries on data.world
Returns a list of saved query definitions, including their language (SQL/SPARQL) and creator metadata. List all saved SQL or SPARQL queries for a dataset
List my collections on data.world
Returns collection identifiers, descriptions, and item counts. List all collections you own or manage
List my datasets on data.world
world catalog for datasets owned by the authenticated user. Returns a list of dataset metadata including title, visibility (public/private), and timestamp of last modification. List all datasets you own on data.world
List my projects on data.world
Returns project summaries including role (owner/contributor), creation date, and linked datasets. List all projects you own on data.world
List project insights on data.world
Insights represent documented findings and data visualizations attached to the project workspace. List all insights published within a project
List recent activity on data.world
Returns a stream of activity logs including dataset updates, project contributions, and new collection entries. List recent activities in your data.world account
Search catalog on data.world
world index. Supports full-text search across titles, descriptions, and tags. Returns a ranked list of matching resources. Search for datasets and projects across data.world
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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.
Does the integration support private datasets?
Yes, as long as the provided API Token has the necessary permissions, the agent can list and retrieve information for any dataset you have access to, including private ones.
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 Chatbots Interact with data.world
Integrate data.world to provide your custom AI agents with direct read and write access to the capabilities listed below.
Autonomous data catalog via AI
The data.world server exposes documented endpoints for data catalog. This allows ChatGPT and Cursor to interact with knowledge management APIs seamlessly.
Claude Code Integration for metadata management
The data.world toolkit provides secure access to metadata management functions. It enables conversational agents to manage knowledge management settings deterministically.
data.world. 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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