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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 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install bigbubbaagent-bot/miro-mcp

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/bigbubbaagent-bot/miro-mcp
Version
—
Commit
8581867862ed1f5f95418eb07558d95d63b3a787
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

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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