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).
Explains Miro's visual collaboration platform features, AI capabilities, and enterprise use cases.
npx claudepluginhub miroapp/miro-aiThis skill inherits all available tools. When active, it can use any tool Claude has access to.
references/ai-capabilities.mdreferences/content-types.mdreferences/design-to-code.mdreferences/enterprise-use-cases.mdMiro 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.
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 for detailed descriptions and business value.
Miro is an AI-first platform with several AI capabilities:
See AI Capabilities for details.
Miro Specs converts team context (user stories, wireframes, architecture) into technical specifications that AI coding tools can consume:
See Design-to-Code for workflows.
Common patterns for enterprise Miro adoption:
See Enterprise Use Cases for implementation patterns.
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:
Use when implementing any feature or bugfix, before writing implementation code