From visual context to code: Give your AI code-gen tools the full picture

Introducing Miro's MCP

Your teams already create rich technical context in Miro — things like architecture diagrams, specs, system designs, and decisions. What if your AI coding tools could read all of that context and write code that reflects it all? That's exactly what Miro's Model Context Protocol (MCP) server makes possible.

Join us to explore how Miro's server transforms your canvas into the connective layer for your entire AI -assisted development ecosystem. Two of Miro's engineers will share how they're using MCP in their daily workflows. We'll also demonstrate two critical engineering use cases:

• Visualize your code: See how you can better understand your codebase by generating a diagram or a summary document with MCP. Onboard faster and get up to speed in minutes, not days.
• Context to code: Watch as requirements and technical specifications flow seamlessly from Miro into your preferred AI coding assistants.

Whether you're using Cursor, GitHub Copilot, or other AI assistants, discover how to eliminate context switching, reduce back-and-forth, and ship faster.

Here's what's on the agenda:

• Live demos of MCP-powered workflows
• Real-life use cases for engineers to transform their work
• Best practices for connecting Miro to your AI coding tools
• Examples of how leading engineering teams are accelerating production capacity with visual-to-code workflows