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The marionette_mcp MCP server was last committed 16d ago and has 26 contributors. Issue health: 82% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

marionette_mcp MCP Server

Name: leancodepl/marionette_mcp
Rating: 4.3 (1 reviews)
Author: leancodepl

leancodepl/marionette_mcp

Score: 82.9 ↑ 48.9% Rank #1316 MCP Server

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MCP server enabling AI agents to interact with Flutter apps at runtime - let them inspect widgets, simulate taps, enter text, scroll, and take screenshots.

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Overview

leancodepl/marionette_mcp is a Dart MCP server licensed under Apache-2.0. MCP server enabling AI agents to interact with Flutter apps at runtime - let them inspect widgets, simulate taps, enter text, scroll, and take screenshots.

Ranked #1316 out of 24846 indexed tools.

In the top 6% of all indexed tools.

Used by 11 other projects.

Has 26 contributors.

Ecosystem

Dart Apache-2.0

Score Breakdown

Stars 15% 484

484 stars → growing community

Freshness 25% 16d ago

Last commit 16d ago → recently updated

Issue Health 25% 82%

27/33 issues closed → responsive maintainer

Contributors 10% 26

26 contributors → active community

Dependents 25% 11

11 dependents → few downstream users

npm Downloads N/A

PyPI Downloads N/A

Forks 52

Description Detailed

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Details

Stars: 484
Forks: 52
Open Issues: 6
Closed Issues: 27
Contributors: 26
Dependents: 11
Language: Dart
License: Apache-2.0
Last Commit: 16d ago

Matched Queries

"mcp server""mcp-server"

From the README

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# Marionette MCP

**"Playwright MCP/Cursor Browser, but for Flutter apps"**

Marionette MCP enables AI agents (Claude Code, Copilot, Cursor, Gemini CLI, and more) to inspect and interact with running Flutter applications. It connects your AI agent directly to a running app via the Model Context Protocol (MCP), so it can see the widget tree, tap elements, enter text, scroll, and capture screenshots for automated AI-driven smoke testing and interaction.

Marionette MCP keeps the surface area intentionally small. It exposes only a handful of high-signal actions and returns the minimum actionable data, which helps keep prompts focused and context sizes under control.

## Learn more about Marionette MCP:

- Video: [Clicking Through Your App with Marionette MCP](https://youtu.be/JYsFDbKTJ54)
- Article: [Marionette MCP - Your Flutter AI Agent That Interacts With Runnin

Read full README on GitHub →

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