New at Dateno: Python SDK, MCP Server, and What’s Coming Next

We started the year with several important updates that make working with Dateno even easier — especially for data scientists, developers, and teams building AI-driven products.

Python SDK for the Dateno API
We’ve released an official Python SDK that provides a simple and convenient way to work with the Dateno API. It significantly lowers the entry barrier for data scientists and analysts for whom Python is the primary working environment, and makes it easier to integrate dataset search into notebooks, pipelines, and production workflows.

To make onboarding as smooth and effective as possible, we’ve also published practical usage examples and guides on our documentation site. These examples are designed to help users get started quickly and apply the SDK in real-world scenarios.

Dateno MCP Server for AI integrations
We’ve also launched our own MCP (Model Context Protocol) server, enabling seamless integration of Dateno’s unique dataset search into AI and LLM-based solutions. This allows AI systems to discover relevant datasets programmatically and use structured metadata as part of their reasoning and generation workflows.

What’s next

We’re actively working on new native AI features in Dateno, focused on end users.

These upcoming capabilities will make dataset discovery, exploration, and reuse even more intuitive — without requiring custom integrations.

These updates are another step toward our goal: making high-quality datasets easier to find, understand, and use — for both humans and machines.

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