Miro

Hi PH! I'm Łukasz, Director of Engineering at Miro. Super excited to share what we've been building.

The backstory:
As you can imagine, our engineering team lives in Miro - we have PRDs, diagrams, user flows, wireframes, technical specs, user insights... everything.

But when we used AI coding tools like Cursor or Claude Code, they had zero context about any of this. We'd spend forever exporting, screenshoting and re-explaining everything that already existed on our boards.

Frustrating!

So we built Miro MCP Server

Now AI coding tools can read Miro boards directly. Point AI at your Miro board with PRDs, prototypes, notes and it can read everything and build exactly what you mean.

But even better, you can use Miro visual capabilities to help you understand your codebase. Imagine this:

You're looking at an unfamiliar codebase. Instead of reading files for hours, you ask your AI tool: "Document this entire system on Miro." Five minutes later, you have architecture diagrams showing how everything connects. People are using it for onboarding new engineers (visualize the codebase before diving in), for keeping documentation current (auto-generate diagrams), and for finally getting AI to stop hallucinating when building features.

What I'd love to hear:
We're in public beta specifically to learn what we're missing.

• What use cases matter to you?

• What's broken?

• What should we build next?

I'm here all day to answer questions, help with setup, or just chat about where AI + visual context is heading. Let's go!

Every time I've pointed an AI coding tool at a PRD, I end up copy-pasting sections into the prompt and losing the visual layout. Miro MCP pulling board context directly into Cursor or Claude Code skips that whole translation step. Biggest question is how it handles large boards with mixed content... rate limits plus noisy context could get tricky fast.

Congrats team!