What platforms does Maestro.dev support?

Maestro.dev is available on Web App, iOS, Android and Linux.

What are the limitations of Maestro.dev?

Cloud pricing is not stated on the homepage, so scaling costs are unclear before contacting the vendor. Declarative flows may be limiting for complex custom logic compared with a full programming language. The homepage gives little detail on integrations beyond CI and MCP, so ecosystem fit needs checking.

Maestro.dev

Name: Maestro.dev
Author: Maestro.dev

Open-source UI testing for iOS, Android and web, with a cloud option

Intermediate

Visit Maestro.dev Back to AI tools

Screenshot of Maestro.dev, Open-source UI testing for iOS, Android and web, with a cloud option

What is Maestro.dev?

Maestro.dev is a coding tool. Maestro is an open-source UI testing tool for iOS, Android and web. Flows are written in readable YAML-style steps, run free through a CLI or the Studio desktop app, and scale on the hosted Maestro Cloud.

Maestro is a UI testing framework for mobile and web apps. Tests are written as short, human-readable flows: a file names the app ID, then lists steps such as launching the app, tapping an element, typing text and asserting that a given screen or label is visible. Because the syntax reads close to plain instructions, people who are not full-time automation engineers can follow and maintain the suites. The tool is aimed at mobile developers, QA engineers and teams that want end-to-end coverage of iOS, Android and web apps without a heavy setup. The homepage describes the project as open source and positions it around speed, with the tagline of coding at high velocity and a focus on agentic workflows. An MCP server is offered for connecting Maestro to AI coding assistants, which suits teams that generate or iterate on tests with an agent. A logo wall on the homepage lists companies such as Microsoft, Meta, DoorDash, Uber, Amazon, Atlassian and Skyscanner as users. In practice there are three ways to work. The command line interface runs flows locally and in continuous integration, and the homepage stresses easy CI integration. Maestro Studio is a desktop app for building and running tests visually, which lowers the barrier for people who prefer a graphical workflow. Maestro Cloud is the hosted tier for scaling runs beyond a single machine. The CLI and Studio are described as free to run, with the cloud as the step up when volume grows. Among alternatives, Maestro sits between code-heavy frameworks that require per-platform scripting and record-and-replay commercial suites. Its appeal is a single declarative format across mobile and web, plus an open-source core that avoids lock-in. Buyers should look closely at the cloud pricing, which the homepage does not state, and at how well declarative flows cope with unusual custom interactions compared with a full programming language.

How do you use Maestro.dev?

1Install the Maestro CLI
Follow the CLI installation guide to put Maestro on your machine so flows can run locally and in CI.
2Or download Maestro Studio
Grab the desktop app from the homepage download button if you prefer building and running tests visually.
3Write a first flow
Create a file with your app ID, then list steps such as launching the app, tapping Login, entering text and asserting a welcome message is visible.
4Run tests in Studio
Use the Studio guide to execute your flows from the desktop app and inspect how each step behaves.
5Connect an AI assistant via MCP
Install the Maestro MCP server so a coding agent can help create and iterate on tests.
6Scale on Maestro Cloud
When local runs are no longer enough, review the cloud page to move test execution to the hosted service.

Pros and cons

Pros

Test flows read like plain instructions, so non-specialists can review and maintain themAI
One approach covers iOS, Android and web apps instead of separate per-platform toolingAI
Open-source core with free CLI and Studio usage reduces cost and lock-in riskAI
Easy CI integration through the CLI fits existing build pipelinesAI
MCP server support lets AI coding assistants work with Maestro testsAI

Cons

Cloud pricing is not stated on the homepage, so scaling costs are unclear before contacting the vendorAI
Declarative flows may be limiting for complex custom logic compared with a full programming languageAI
The homepage gives little detail on integrations beyond CI and MCP, so ecosystem fit needs checkingAI
Desktop download shown on the homepage is a Linux AppImage link, so other platform options need confirmingAI

How much does Maestro.dev cost?

Pricing

The CLI and Maestro Studio run free, according to the site. Maestro Cloud is the paid-scale option, but specific prices are not listed on the homepage.

Learn more

Integrations

Easy CI integrations are mentioned, and an MCP server connects Maestro to AI coding assistants. No specific CI vendors are named on the homepage.

Learn more

Features

Human-readable test flows, open-source core, CLI and desktop Studio app, easy CI integration, MCP server for AI assistants, and Maestro Cloud for scaling runs across iOS, Android and web.

Frequently asked questions about Maestro.dev

How much does Maestro.dev cost?
The CLI and Maestro Studio run free, according to the site. Maestro Cloud is the paid-scale option, but specific prices are not listed on the homepage.
How do you use Maestro.dev?
The walkthrough on this page covers 6 steps: 1. Install the Maestro CLI 2. Or download Maestro Studio 3. Write a first flow 4. Run tests in Studio 5. Connect an AI assistant via MCP 6. Scale on Maestro Cloud.
What platforms does Maestro.dev support?
Maestro.dev is available on Web App, iOS, Android and Linux.
What does Maestro.dev integrate with?
Easy CI integrations are mentioned, and an MCP server connects Maestro to AI coding assistants. No specific CI vendors are named on the homepage.
What are the limitations of Maestro.dev?
Cloud pricing is not stated on the homepage, so scaling costs are unclear before contacting the vendor. Declarative flows may be limiting for complex custom logic compared with a full programming language. The homepage gives little detail on integrations beyond CI and MCP, so ecosystem fit needs checking.