bambu-studio-ai
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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.
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-mcpInspect 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.
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:
Minimal Setup:
url: https://mcp.miro.com/
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.
Miro MCP supports two primary use cases: diagram generation and code generation.
Generate visual diagrams directly on Miro boards from code, PRDs, or text descriptions:
Tool: Use code_explain_on_board prompt or diagram_create tool with DSL (flowchart, UML class/sequence, ERD).
Generate working code from board content:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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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