Prompt of the Day
June 28, 2025
This week in Model Mondays, we focus on the Model Context Protocol (MCP) — and learn how to securely connect AI models to real-world tools and services using MCP, Azure AI Foundry, and industry-standard authorization. Read on for my recap
About Model Mondays
Model Mondays is a weekly series designed to help you build your Azure AI Foundry Model IQ step by step. Here’s how it works:
- 5-Minute Highlights – Quick news and updates about Azure AI models and tools on Monday
- 15-Minute Spotlight – Deep dive into a key model, protocol, or feature on Monday
- 30-Minute AMA on Friday – Live Q&A with subject matter experts from Monday livestream
If you want to grow your skills with the latest in AI model development, Model Mondays is the place to start. Want to follow along?
- Register Here – to watch upcoming Mondel Monday livestreams
- Watch Playlists to replay past Model Monday episodes
- Register Here – to join the AMA on MCP on Friday Jun 27
- Visit The Forum– to view Foundry Friday AMAs and recaps
Spotlight On: Model Context Protocol (MCP)
This week, the Model Monday’s spotlight was on the Model Context Protocol (MCP) with subject matter expert Den Delimarsky. Don’t forget to check out the slides from the presentation, for resource links!
In this blog post, I’ll talk about my five key takeaways from this episode:
- What Is MCP and Why Does It Matter?
- What Is MCP Authorization and Why Is It Important?
- How Can I Get Started with MCP?
- Spotlight: My Aha Moment
- Highlights: What’s New in Azure AI
1 . What Is MCP and Why is it Important?
MCP is a protocol that standardizes how AI applications connect the underlying AI models to required knowledge sources (data) and interaction APIs (functions) for more effective task execution. Because these models are pre-trained, they lack access to real-time or proprietary data sources (for knowledge) and real-world environments (for interaction). MCP allows them to “discover and use” relevant knowledge and action tools to add relevant context to the model for task execution.
Want to learn more about MCP – check out the AI Engineer World Fair 2025 “MCP and Keynotes” track. It kicks off with a keynote from Asha Sharma that gives you a broader vision for Azure AI Foundry. Then look for the talk from Harald Kirschner on MCP and VS Code.
2. What Is MCP Authorization and Why Does It Matter?
MCP (Model Context Protocol) authorization is a system that helps developers manage who can access their apps, especially when they are hosted in the cloud. The goal is to simplify the process of securing these apps by using common tools like OAuth and identity providers (such as Google or GitHub), so developers don’t have to be security experts.
Key Takeaways:
- The new MCP proposal uses familiar identity providers to simplify the authorization process.
- It allows developers to secure their apps without requiring deep knowledge of security.
- The update ensures better security controls and prepares the system for future authentication methods.
Related Reading:
- Aaron Parecki, Let’s Fix OAuth in MCP
- Den Delimarsky, Improving The MCP Authorization Spec – One RFC At A Time
- MCP Specification, Authorization protocol draft
On Monday, Den joined us live to talk about the work he did for the authorization protocol. Watch the session now to get a sense for what the MCP Authorization protocol does, how it works, and why it matters. Have questions? Submit them to the forum or Join the Foundry Friday AMA on Jun 27 at 1:30pm ET.
3. How Can I Get Started?
If you want to start working with MCP, here’s how to do it easily:
- Learn the Fundamentals: Explore MCP For Beginners
- Use an MCP Server: Explore VSCode Agent Mode support .
- Use MCP with AI Agents: Explore the Azure MCP Server
4. What’s New in Azure AI Foundry?
- Managed Compute for Cohere Models: Faster, secure AI deployments with low latency.
- Prompt Shields: New Azure security system to protect against prompt injection and unsafe content.
- OpenAI o3 Pro Model: A fast, low-cost model similar to GPT-4 Turbo.
- Codex Mini Model: A smaller, quicker model perfect for developer command-line tasks.
- MCP Security Upgrades: Now easier to secure AI apps using familiar OAuth identity providers.
5. My Aha Moment
Before this session, I used to think that connecting apps to AI was complicated and risky. I believed developers had to build their own security systems from scratch, which sounded tough. But this week, I learned that MCP makes it simple. We can now use trusted logins like Google or GitHub and securely connect AI models to real-world apps without extra hassle.
How I Learned This ?
To be honest, I also used Copilot to help me understand and summarize this topic in simple words. I wanted to make sure I really understood it well enough to explain it to my friends and peers. I believe in learning with the tools we have, and AI is one of them. By using Copilot and combining it with what I learned from the Model Monday’s session, I was able to write this blog in a way that is easy to understand
Takeaway for Beginners:
It’s okay to use AI to learn what matters is that you grow, verify, and share the knowledge in your own way.
Coming Up Next Week:
Next week, we dive into SLMs & Reasoning (Phi-4) with Mojan Javaheripi, PhD, Senior Researcher at Microsoft Research. This session will explore how Small Language Models (SLMs) can perform advanced reasoning tasks, and what makes models like Phi-4 reasoning efficient, scalable, and useful in practical AI applications. Register Here!
Join The Community
Great devs don’t build alone! In a fast-pased developer ecosystem, there’s no time to hunt for help. That’s why we have the Azure AI Developer Community. Join us today and let’s journey together!
- Join the Discord – for real-time chats, events & learning
- Explore the Forum – for AMA recaps, Q&A, and help!
About Me:
I’m Sharda, a Gold Microsoft Learn Student Ambassador interested in cloud and AI. Find me on Github, Dev.to, Tech Community and Linkedin. In this blog series I have summarized my takeaways from this week’s Model Mondays livestream.