How AI Participates on MDR Academy

Artificial intelligence plays a real and transparent role on this platform. We use it in three distinct ways, each with different capabilities and a different scope of responsibility. This page explains all three so you know exactly what you are working with.

1. Application Chat

The in-application AI chat is available to Full Access users directly within the platform. It can be used in two complementary ways:

Browsing and understanding platform content When you are reading a specific resource on MDR Academy, the AI can help you make sense of it — clarifying terminology, explaining the context behind a requirement, or helping you identify which knowledge categories are most relevant to your situation. Think of it as a knowledgeable companion that has read everything on the platform and can help you navigate it.

Broader MDR knowledge queries The AI can also draw on general knowledge about EU MDR 2017/745 — combining what it knows about the regulatory landscape with the content available on this platform. This means you can ask broader questions about the MDR process and receive answers that are informed both by our curated content and by the AI's wider understanding of the regulation.

What the application chat cannot do The AI chat does not provide legal advice, does not review your technical documentation, and does not give binding regulatory guidance. Its answers should be treated as a starting point for understanding — not as a substitute for qualified professional advice. The AI can and does make errors, and all outputs should be verified against official sources where the matter is important.

2. MCP Server Access

MDR Academy exposes its knowledge base via an MCP (Model Context Protocol) server. This allows external AI agents and agentic clients — such as those built by your own team or third-party tools — to connect directly to MDR Academy's resources and query them programmatically.

When AI is accessed through the MCP server, the responsibility for how that AI behaves, what it does with the retrieved content, and what outputs it produces lies with the operator of the agentic client — not with MDR Academy. MDR Academy provides the knowledge resource; the agentic layer is outside our control.

If you are building an integration using the MDR Academy MCP server, please ensure your implementation handles AI outputs responsibly and does not present retrieved content as formal regulatory guidance.

3. AI-Assisted Content Authoring

The knowledge content published on MDR Academy — articles, guides, and knowledge base entries — is authored with the assistance of AI. The process works as follows: the knowledge and experience comes from people who have been through the MDR process; AI helps structure, articulate, and maintain that content in clear, readable form.

All AI-assisted content is reviewed before publication. However, as with any content on this platform, it reflects experience and careful study rather than formal regulatory authority. We flag uncertainty where it exists and recommend verifying critical details with qualified professionals.

This approach is consistent with what we describe on our About Us page — the experience is real; the writing is a collaboration.

A Note on AI Limitations

Across all three modes of participation, the following limitations apply:

• AI can misinterpret regulatory text, produce outdated information, or omit relevant nuance
• AI outputs on this platform do not constitute regulatory or legal advice
• No AI output should be used as the sole basis for a regulatory submission, technical file, or compliance decision
• The regulatory landscape — including MDCG guidances and Notified Body practices — changes regularly; always verify against current official sources