Turn code into visual docs, board context into code
Your AI coding assistant can now read your Miro boards. • Code → Visual Docs: Open your AI tool in your repo, ask "Document this on Miro" - get architecture diagrams, flowcharts, data models. • Board Context → Code: AI reads your PRDs, specs, diagrams, flows, prototypes, decisions and generates code matching your plans. • Works with: Cursor, Claude Code, Windsurf, VSCode + Copilot, Replit. • 2-min setup, OAuth. Public beta.
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!
About Miro MCP on Product Hunt
“Turn code into visual docs, board context into code”
Miro MCP launched on Product Hunt on February 5th, 2026 and earned 142 upvotes and 14 comments, placing #9 on the daily leaderboard. Your AI coding assistant can now read your Miro boards. • Code → Visual Docs: Open your AI tool in your repo, ask "Document this on Miro" - get architecture diagrams, flowcharts, data models. • Board Context → Code: AI reads your PRDs, specs, diagrams, flows, prototypes, decisions and generates code matching your plans. • Works with: Cursor, Claude Code, Windsurf, VSCode + Copilot, Replit. • 2-min setup, OAuth. Public beta.
On the analytics side, Miro MCP competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Miro MCP performed against the three products that launched closest to it on the same day.
Who hunted Miro MCP?
Miro MCP was hunted by Łukasz Sągol. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Łukasz Sągol
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!