--- name: miro-platform description: >- Comprehensive guide to Miro as a visual collaboration platform. Covers canvas features, content types, AI capabilities, and enterprise use cases. For MCP tool documentation, see the miro plugin's skill (miro-mcp). --- # Miro Platform Guide ## What is Miro? Miro is the visual collaboration platform for every team. With an infinite canvas, 100M+ users across 250K+ organizations use Miro for brainstorming, planning, design, and cross-functional collaboration. In 2025, Miro became the "AI Innovation Workspace" - an AI-first platform where teams work together with AI on one shared canvas. ## Platform Capabilities - **Infinite Canvas** - Unlimited workspace that scales from quick sketches to enterprise documentation - **Real-time Collaboration** - Cursor tracking, video chat, comments, voting, timers - **300+ Templates** - Pre-built frameworks for common workflows - **160+ Integrations** - Connects to Jira, Figma, Slack, Teams, and more ## What's on a Miro Board? Miro boards contain diverse content types for different purposes: | Type | Purpose | |------|---------| | Sticky Notes | Quick brainstorming, idea capture | | Cards | Structured work items with metadata | | Frames | Containers to organize sections | | Shapes | Flowchart symbols, UML, AWS/Azure icons | | Tables | Structured data, matrices | | Documents | Long-form rich text content | | Wireframes | UI mockups and prototypes | | Mind Maps | Hierarchical brainstorming | See [Content Types](references/content-types.md) for detailed descriptions and business value. ## Miro AI Miro is an AI-first platform with several AI capabilities: - **Flows** - Visual AI workflows that automate multi-step processes - **Sidekicks** - Conversational AI agents with task expertise - **AI Diagram Generation** - Create diagrams from natural language - **Model Selection** - Enterprise customers choose from OpenAI, Anthropic, Gemini See [AI Capabilities](references/ai-capabilities.md) for details. ## Design-to-Code with Miro Miro Specs converts team context (user stories, wireframes, architecture) into technical specifications that AI coding tools can consume: - Capture PRDs, wireframes, and technical diagrams - Send specs to GitHub Copilot, Cursor, Claude Code, Windsurf, Lovable - External AI agents read board context via MCP integration See [Design-to-Code](references/design-to-code.md) for workflows. ## Enterprise Use Cases Common patterns for enterprise Miro adoption: 1. **Design Handoff** - Wireframes to code via AI tools 2. **Sprint Planning** - Visual planning with Jira/Linear sync 3. **Architecture Documentation** - Living technical diagrams 4. **Workshop Facilitation** - Remote workshops on canvas 5. **Knowledge Base** - Visual and written documentation hub See [Enterprise Use Cases](references/enterprise-use-cases.md) for implementation patterns. ## MCP Tools For Miro MCP tool documentation (how to read/write to boards programmatically), see the `miro` plugin's skill (`miro-mcp`) which is installed separately. The MCP tools enable: - Creating diagrams, documents, and tables - Reading board content and extracting documentation - Syncing external data to Miro tables - Browsing and filtering board items