Miro Developer App for Openclaw

A powerful integration for developers to programmatically manage Miro boards, widgets, and team collaboration through a streamlined CLI interface.

membranedev
v1.0.2
Apr 30, 2026
0
376
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install miro-developer-app-integration

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install miro-developer-app-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Miro Developer App?

The Miro Developer App skill empowers developers to build custom applications and automated integrations for the Miro online whiteboard platform. By leveraging this Openclaw Skills integration, you can interact with Miro's extensive API to manage boards, users, and specific canvas elements like shapes, stickers, and frames without manual intervention.

Built on top of the Membrane framework, this skill simplifies the complex parts of development—specifically authentication and credential management. It provides a secure bridge between your AI agent and Miro, allowing for seamless whiteboard manipulation and data retrieval in a developer-friendly environment.

Miro Developer App Use Cases

  • Automating the creation of project boards and frames for new team sprints.
  • Programmatically extracting text and data from sticky notes for documentation or analysis.
  • Syncing external task data into Miro widgets like cards and shapes for visual project management.
  • Managing board memberships and permissions across large organizations automatically.
  • Generating automated visual reports by placing images and connectors on a shared whiteboard.

How Miro Developer App Works

  1. The user installs the Membrane CLI to provide a standardized interface for Openclaw Skills.
  2. Authentication is initiated via a simple login command, which handles OAuth flows and token refreshes automatically.
  3. A connection to the Miro API is established and verified, ensuring the environment is ready for commands.
  4. Users search for specific actions (like list-boards or create-item) using natural language intent discovery.
  5. Actions are executed through the CLI, which sends requests to Miro and returns structured JSON responses to the agent.

Miro Developer App Setup

First, install the Membrane CLI to manage your Openclaw Skills:

npm install -g @membranehq/cli@latest

Next, authenticate your environment (replace <agentType> with openclaw):

membrane login --tenant --clientName=openclaw

Connect to your Miro account:

membrane connection ensure "https://miro.com" --json

If the connection state is BUILDING, wait for it to become READY:

membrane connection get <id> --wait --json

Miro Developer App Data Schema & Taxonomy

The skill interacts with the Miro object model, organizing data into the following primary entities:

Entity Description
Board The top-level container for all collaborative content.
Widget Canvas elements including Text, Shapes, Stickers, Cards, and Frames.
User / Team Identity and permission structures for collaboration.
Connector Lines or links connecting different widgets on the board.
Board Member Specific users assigned to a board with defined roles.

Miro Developer App Advanced Features

  • Natural Language Action Discovery: Find the right API tool by describing your intent rather than memorizing endpoint names.
  • Automatic Credential Refresh: Membrane manages OAuth tokens server-side, eliminating local secret management risks.
  • Proxy Request Mode: Send custom requests to any Miro API endpoint with automatic header injection and base URL normalization.
  • Long-polling Connection Status: Use the --wait flag to handle asynchronous connection building during initial setup.
  • Machine-Readable Output: All commands support a --json flag for easy parsing by AI agents and automated scripts.

SKILL.md


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