Miro MCP Server: Give AI Agents Access to Your Boards and Diagrams

Why Give AI Access to Miro?

Miro is the collaborative whiteboard 60 million people use for brainstorming, diagramming, sprint planning, and workshops. When building features or writing documentation, you switch between your editor and Miro to reference architecture diagrams, read planning notes, check user flow maps, and pull requirements from sticky notes. Each context switch costs focus during development.

An MCP server turns your Miro workspace into structured tools that AI coding assistants (Claude, Cursor, Windsurf) can call directly. Instead of switching to Miro to read a diagram or check planning board content, your AI reads them in real-time while you work.

What AI Agents Can Do with Miro Access

With a DataFaucet MCP server pointed at your Miro workspace, AI tools can:

• Read boards — access board content, sticky notes, shapes, and text elements
• Query frames — list frames within a board and their contents
• Pull diagrams — read flowcharts, architecture diagrams, and sequence diagrams
• List projects — view board organization, team projects, and shared boards
• Search content — find specific text across boards and sticky notes

Setting Up Miro as an MCP Server with DataFaucet

1. Open DataFaucet and start a capture session
2. Navigate to your Miro boards and browse diagrams, sticky notes, frames, and projects
3. DataFaucet captures the API patterns Miro uses internally
4. Deploy and connect to your AI coding tool

claude mcp add miro-boards https://your-datafaucet-server.dev/sse

Your AI now has structured tool access to your Miro workspace data.

Example Queries After Setup

Once connected, ask your AI questions like:

• "What are the sticky notes on the Sprint 12 planning board?"
• "Read the architecture diagram in the System Design project"
• "List all frames in the Product Roadmap board"
• "What user flow steps are mapped in the Onboarding board?"
• "Find boards that mention the payments service"

Each query returns structured data your AI can use in code, documentation, or planning workflows.

Why DataFaucet Instead of the Miro REST API?

Miro's REST API requires OAuth app registration, token management, and scope configuration for each board type. DataFaucet captures from your authenticated session in minutes:

No API keys to manage. No OAuth flows to implement. No developer team app approval.

Use Cases by Role

Engineers — AI reads architecture diagrams and sprint boards while you code, surfacing requirements and design decisions without tab switching.

Product managers — AI queries roadmap boards, pulls feature specs from sticky notes, and summarizes workshop outcomes for documentation.

Technical writers — AI accesses flow diagrams and system maps to generate accurate documentation that reflects the latest board content.

Works With Any MCP Client

DataFaucet MCP servers are compatible with every MCP client:

• Claude Desktop / Claude Code — claude mcp add
• Cursor — add to .cursor/mcp.json
• Windsurf — add in MCP settings panel
• Any MCP-compatible tool — standard SSE transport

Getting Started

1. Visit DataFaucet
2. Capture your Miro workspace API calls
3. Deploy your MCP server
4. Connect to Claude, Cursor, or Windsurf

Your AI coding assistant now has real-time access to your Miro boards, diagrams, sticky notes, and project data.