Miro MCP

Product Introduction

1. Definition: Miro MCP (Model Context Protocol Server) is a hosted API gateway enabling bidirectional communication between AI coding assistants and Miro boards. It operates as a middleware layer in the AI-integration ecosystem, leveraging OAuth 2.1 for secure enterprise-grade authentication.
2. Core Value Proposition: MCP eliminates manual context switching between visual planning (Miro boards) and code development by allowing AI agents to interpret board content (PRDs, diagrams, prototypes) and generate code/diagrams in real time.

Main Features

1. Code-to-Visual Transformation:

   • How it works: Users prompt AI tools (e.g., GitHub Copilot) with commands like "Document this on Miro." MCP ingests code repositories or text descriptions, parses architectural patterns, and auto-generates Miro boards with flowcharts, data models, or UML diagrams.
   • Technology: Uses Miro’s REST API for board creation and Web SDK for dynamic item rendering. Supports GitHub URLs, raw code, and markdown inputs.

2. Board-to-Code Synthesis:

   • How it works: AI agents (e.g., Cursor IDE) scan Miro boards containing PRDs, wireframes, or decision flows via MCP’s real-time context API. They output functional code snippets matching specifications.
   • Technology: Employs Miro’s item metadata extraction (text, shapes, connectors) and formats data for LLM prompts via standardized MCP schema.

3. Enterprise Security & Integration:

   • How it works: OAuth 2.1 with dynamic client registration ensures zero hardcoded credentials. Rate limiting (per standard REST API quotas) prevents abuse.
   • Technology: SAML-compatible authentication, encrypted data transmission, and scoped permissions (read/write by board).

Problems Solved

1. Pain Point: Disconnected workflows between visual documentation and codebases cause misinterpretation of specs, design drift, and redundant manual diagramming.
2. Target Audience:
   • Software Architects: Convert codebases to visual docs for onboarding.
   • Product Managers: Auto-generate prototypes from PRDs.
   • Full-Stack Developers: Sync Miro wireframes with React/Node.js implementations.
3. Use Cases:
   • Auto-documenting microservices architecture in Miro from a GitHub repo.
   • Generating Python data pipelines from Miro-based ETL diagrams.
   • Creating landing page HTML/CSS from UI wireframes in Miro.

Unique Advantages

1. Differentiation: Unlike standalone AI tools (e.g., ChatGPT), MCP provides structured access to real-time board context, avoiding hallucinations. Competitors like Lucidchart lack bidirectional code-generation capabilities.
2. Key Innovation: The Model Context Protocol (open standard) optimizes data formatting for AI agents, reducing latency and token waste. Supports 15+ clients (e.g., Replit, Claude Code) without custom integrations.

Frequently Asked Questions (FAQ)

1. How does Miro MCP handle data security for enterprise teams?
   MCP enforces OAuth 2.1 with dynamic client registration, encrypts data in transit, and complies with enterprise SOC 2 standards. Admins control board access via Miro’s permission scopes.
2. Which AI coding assistants work with Miro MCP?
   Supported clients include VSCode + Copilot, Cursor IDE, Claude Code, Replit, Windsurf, and Gemini CLI. Full list includes 15+ MCP-compatible tools.
3. Can Miro MCP generate diagrams from legacy codebases?
   Yes. Paste GitHub URLs, code snippets, or PRD text into MCP-enabled tools to auto-create UML diagrams, flowcharts, or architecture maps on Miro boards.
4. Is coding experience required to use Miro MCP?
   No. The 2-minute OAuth setup allows non-technical users (e.g., PMs) to generate code from boards, while developers customize outputs via API.