Claude Code + MCP Might Seriously Change the Way We Build Power Apps
Over the past few weeks, I’ve been experimenting with Claude Code + MCP (Model Context Protocol) while working on Power Apps Canvas Apps, and honestly… it feels different from the usual “AI assistant” hype.
For the first time, it feels like AI is starting to understand the actual context of a solution — not just isolated formulas or snippets of code.
And if you’ve worked on large Canvas Apps before, you already know how messy things can get after a while:
• Tons of screens
• Repeated Power Fx formulas everywhere
• Components depending on other components
• SharePoint / Dataverse integrations
• Multiple flows running in the background
• Security and role logic spread across the app
At some point, maintaining the app becomes harder than building it.
That’s why MCP caught my attention.
Instead of asking AI one small question at a time, the model can start understanding the broader structure of the project — relationships between screens, formulas, flows, APIs, components, and overall architecture.
And honestly, even in its current state, the potential is huge.
I’ve already seen scenarios where it can help:
✔ Understand large apps faster
✔ Detect repeated logic patterns
✔ Assist with troubleshooting
✔ Speed up refactoring
✔ Generate cleaner documentation
✔ Reduce time spent navigating complex solutions
Now to be fair — this still needs a lot of improvement before it becomes truly reliable for enterprise Power Platform development.
There’s still a long way to go when it comes to:
• Deep Power Fx understanding
• Delegation awareness
• Connector limitations
• Architecture decisions
• Environment strategy
• Enterprise-scale best practices
But even with all of that, I genuinely think this kind of workflow can already reduce development and troubleshooting time by 50% or more in many scenarios.
Not because AI replaces developers.
But because it removes a huge amount of repetitive effort and helps developers understand complex solutions much faster.
Personally, I don’t see AI replacing good Power Platform developers anytime soon.
If anything, I think strong architecture and problem-solving skills will become even more important.
The developers who understand performance, delegation, data modeling, and scalable design will probably benefit from these tools the most.
Feels like we’re still very early in this shift… but it’s becoming really interesting to watch.
Curious if other Power Platform developers have started experimenting with MCP or AI-assisted Canvas App workflows yet.