by appium · MCP Server · ★ 400
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MCP Appium - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and Real Devices MCP Appium is an intelligent MCP (Model Context Protocol) server designed to empower AI assistants with a robust suite of tools for mobile automation. It streamlines mobile app testing by enabling natural language interactions, intelligent locator generation, and automated test creation for both Android and iOS platforms. Table of Contents Features Prerequisites Installation Configuration Available Tools Plugin API Client Support Usage Examples Contributing License 🚀 Features Cross-Platform Support: Automate tests for both Android (UiAutomator2) and iOS (XCUITest). AI-Powered Element Finding: Locate UI elements using natural language descriptions powered by vision models - no need for complex XPath or selectors. Intelligent Locator Generation: AI-powered element identification using priority-based strategies. Interactive Session Management: Easily create and manage sessions on local mobile devices. Smart Element Interactions: Perform actions like clicks, text input, screenshots, and element finding. Aut
| Stars | 400 |
| Forks | 83 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 49.936/100 |
| Open Issues | 14 |
| Last Updated | 2026-06-20 |
| Created | 2025-06-11 |
| Platforms | mcp, node |
| Est. Tokens | ~26k |
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appium-mcp is Appium MCP on Steroids!. It is categorized as a MCP Server with 400 GitHub stars.
appium-mcp is primarily written in TypeScript. It covers topics such as goose, mcp, mcp-appium.
You can find installation instructions and usage details in the appium-mcp GitHub repository at github.com/appium/appium-mcp. The project has 400 stars and 83 forks, indicating an active community.
appium-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to appium-mcp on Agent Skills Hub include mcpm.sh, awesome-ai-anatomy, agent-shell. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.