Miro MCP Server

Overview

The MCP Miro Server bridges the gap between AI assistants and the collaborative white‑board platform Miro. By exposing a rich set of MCP tools that mirror the official Miro SDK, it allows agents such as Claude to programmatically create, read, update, and delete board elements—boards, frames, sticky notes, connectors, and more—through a single, standardized protocol. This eliminates the need for developers to write bespoke API wrappers or handle OAuth flows themselves; instead, they interact with Miro as if it were a native data source in the AI’s context.

What problem does this solve? Many teams rely on Miro for brainstorming, sprint planning, and visual documentation. Yet integrating these boards into automated workflows—such as generating meeting summaries, populating templates, or synchronizing design artifacts—requires repetitive HTTP requests and complex authentication. The MCP server abstracts these details, turning every Miro operation into a declarative tool call that an AI can invoke directly. Developers can now ask their assistant to “create a new sprint board with three columns” or “move all sticky notes from frame A to frame B,” and the server translates that into the appropriate Miro API calls.

Key capabilities include:

• Full board lifecycle management: list, create, update, copy, and delete boards.
• Granular item control: manipulate cards, sticky notes, connectors, frames, documents, images, and text items individually or in bulk.
• Positioning and layout: update item coordinates to reorganize visual structure automatically.
• Rich media support: add images from URLs or local files, and handle app card items for third‑party integrations.

These features empower a range of real‑world scenarios. Product managers can generate dynamic roadmap boards from natural language specifications; UX designers can auto‑populate wireframe templates; project leads can synchronize task boards with issue trackers by pushing updates to Miro. Because the server adheres strictly to MCP, any AI platform that understands the protocol can tap into Miro without custom code, fostering rapid prototyping and consistent cross‑tool workflows.

Integration is straightforward: once the server is running, a developer adds its name and token to an AI client’s configuration. The assistant then sends tool calls such as or , and the server handles authentication, rate‑limiting, and response formatting. This seamless plug‑in model means teams can embed Miro into broader AI pipelines—combining it with document generation, data analytics, or voice assistants—while keeping all interactions traceable and auditable through MCP’s standard.

In short, the MCP Miro Server turns a complex, authenticated API into a set of intuitive commands that AI agents can leverage. It saves developers time, reduces boilerplate, and unlocks powerful automation possibilities across the collaborative design and planning lifecycle.