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    Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.
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    MIT
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    Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.
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    Apache 2.0
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    AI 規格大師 — MCP server bridging specs (Linear / JIRA / GitHub Issues / Notion / Markdown / Figma) to tests, with bidirectional traceability and a spec-quality coach. Sibling to mk-qa-master.
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    MIT
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    Enables AI assistants to interact with TrafficMorph for load-testing and CI-failure triage, including run management, profile lifecycle, and domain verification through natural language.
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    Apache 2.0
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    QA Sphere MCP server that enables Large Language Models to interact directly with test management system test cases, supporting AI-powered development workflows and test case discovery.
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    MIT
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    Enables AI agents to interact with live Power BI Desktop report canvas via Chrome DevTools Protocol, performing actions like page navigation, clicking slicers, reading cards and matrices, and capturing baselines.
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    MIT
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    Enables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.
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    Apache 2.0
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    Enables AI-driven testing and automation of Tauri desktop applications through natural language, allowing users to interact with UI elements, capture screenshots, execute commands, and test application flows without manual clicking or complex scripts.
    Last updated
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    MIT
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    Enables management of TestRail projects, test cases, runs, and results directly through MCP-supported clients. It provides a comprehensive set of tools to interact with the TestRail API for seamless test cycle management within AI environments.
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    MIT