Miro MCP + Claude Code: Shipping Open Source Features with AI Agents
Discover how AI Agents are revolutionizing the open-source engineering lifecycle. In this technical demo, we integrate Claude Code with Miro via the Model Context Protocol (MCP) to bridge the gap between visual planning and production code. Watch as autonomous agents analyze the MCP-Obsidian codebase, gather visual context from a website, and ship a new feature, directly from sticky notes on a board to a live Pull Request.
What you’ll learn:
- Visual Issue Management: Pulling GitHub issues into Miro for collaborative triaging.
- Agentic Research: Deploying parallel sub-agents (Architect, Code Analyst, and Visual Capture) to build deep product context.
- Requirement Synthesis: How Claude "reads" Miro sticky notes to generate production-ready code.
- Automated Shipping: Generating a PR and syncing task progress/screenshots back to Miro for full-loop visibility.
⏱️ Timestamps
00:00 – Intro: The Future of Open Source with AI Agents
00:15 – Connecting Claude Code to the MCP-Obsidian Repo
00:25 – Syncing GitHub Issues to the Miro Canvas
01:28 – Agent Orchestration: Researching the Codebase
02:22 – Automating Product Context & User Journeys
03:13 – Visualizing Architecture & Code Snippets in Miro
03:45 – Mapping FAQ Requirements with Sticky Notes
04:07 – AI in Action: Building the Feature & Writing Code
05:35 – Reviewing the Diff & Pull Request (PR) Creation
06:18 – Visual Validation: Automated Screenshots of the Result
07:08 – Final Sync: Closing the Dev Loop in Miro
#MiroMCP #MCP #Claude