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miro-mcp

Connect OpenClaw agents to Miro via Model Context Protocol (MCP). Use when generating diagrams, visualizing code, brainstorming board layouts, or integrating Miro into AI-powered design workflows. Supports OAuth 2.1 authentication, 14+ MCP-compatible clients (Cursor, Claude Code, Replit, Lovable, VSCode/Copilot, Gemini CLI, Windsurf, Kiro CLI, Amazon Q, others). Best for design thinking, architecture visualization, project planning, collaborative ideation.

bigbubbaagent-bot0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install bigbubbaagent-bot/miro-mcp

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Miro MCP Integration

Quick Start

Miro MCP enables AI agents to read from and write to Miro boards via the Model Context Protocol—an open standard for AI-external system integration. Your agent can generate diagrams, analyze board content, and create code from visual designs.

Prerequisites:

  • MCP-capable client (Cursor, Claude Code, Replit, Lovable, VSCode, etc.)
  • OAuth 2.1 support in your client
  • Active Miro workspace access

Minimal Setup:

  1. Add MCP configuration: url: https://mcp.miro.com/
  2. Click "Connect" and authenticate via OAuth 2.1
  3. Select your Miro team during OAuth flow
  4. Start prompting with board URLs

Quick Example:

Prompt: "Summarize the content on this board: https://miro.com/app/board/uXjVGAeRkgI=/"
Result: Agent reads board items and returns a summary

See references/mcp-connection.md for detailed setup instructions per client.

Core Capabilities

Miro MCP supports two primary use cases: diagram generation and code generation.

Diagram Generation

Generate visual diagrams directly on Miro boards from code, PRDs, or text descriptions:

  • From Code: Provide repository URLs or code snippets → agent generates architecture/data flow diagrams (UML, flowchart, ERD)
  • From PRDs: Share product requirement documents → agent creates visual workflows, user flows, state diagrams
  • From Text: Describe a system → agent visualizes it as architecture or sequence diagram
  • From GitHub URLs: Agent analyzes GitHub repos and generates architectural diagrams

Tool: Use code_explain_on_board prompt or diagram_create tool with DSL (flowchart, UML class/sequence, ERD).

Code Generation

Generate working code from board content:

  • PRD to Code: Board contains product requirements → agent generates documentation + implementation guidance
  • Diagram to Code: Architecture diagram on board → agent generates code structure matching the design
  • Prototype to Code: P...

Source information

Source
github
Repository
openclaw/skills
Path
skills/bigbubbaagent-bot/miro-mcp
Version
—
Commit
8581867862ed1f5f95418eb07558d95d63b3a787
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Miro MCP Integration

## Quick Start

Miro MCP enables AI agents to read from and write to Miro boards via the Model Context Protocol—an open standard for AI-external system integration. Your agent can generate diagrams, analyze board content, and create code from visual designs.

**Prerequisites:**
- MCP-capable client (Cursor, Claude Code, Replit, Lovable, VSCode, etc.)
- OAuth 2.1 support in your client
- Active Miro workspace access

**Minimal Setup:**
1. Add MCP configuration: `url: https://mcp.miro.com/`
2. Click "Connect" and authenticate via OAuth 2.1
3. Select your Miro team during OAuth flow
4. Start prompting with board URLs

**Quick Example:**
```
Prompt: "Summarize the content on this board: https://miro.com/app/board/uXjVGAeRkgI=/"
Result: Agent reads board items and returns a summary
```

See [references/mcp-connection.md](references/mcp-connection.md) for detailed setup instructions per client.

## Core Capabilities

Miro MCP supports two primary use cases: **diagram generation** and **code generation**.

### Diagram Generation

Generate visual diagrams directly on Miro boards from code, PRDs, or text descriptions:
- **From Code:** Provide repository URLs or code snippets → agent generates architecture/data flow diagrams (UML, flowchart, ERD)
- **From PRDs:** Share product requirement documents → agent creates visual workflows, user flows, state diagrams
- **From Text:** Describe a system → agent visualizes it as architecture or sequence diagram
- **From GitHub URLs:** Agent analyzes GitHub repos and generates architectural diagrams

Tool: Use `code_explain_on_board` prompt or `diagram_create` tool with DSL (flowchart, UML class/sequence, ERD).

### Code Generation

Generate working code from board content:
- **PRD to Code:** Board contains product requirements → agent generates documentation + implementation guidance
- **Diagram to Code:** Architecture diagram on board → agent generates code structure matching the design
- **Prototype to Code:** P...

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