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    Behavioral verification intelligence for AI coding agents. Reads a TypeScript or JavaScript repo, clusters functions into 25 semantic workflows (Authentication, Payments, Webhooks, Caching, Queue, and more), and emits concrete adversarial probes per workflow. 17 MCP tools, local SQLite state, zero cloud.
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    MIT
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    Enables AI coding agents to test and automate Android apps rendering UI in OpenGL/Vulkan/Metal surfaces via screenshot-based vision tools for tapping, swiping, long-pressing, and recording, without accessibility tree dependency.
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    Connects Claude to a live Chrome browser's accessibility tree to generate stable, framework-agnostic test selectors and perform accessibility audits. It enables users to read element roles and states exactly as a screen reader would to help write, debug, and migrate test suites using natural language.
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    MIT
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    Enables AI assistants to access RenderDoc capture data and assist with graphics debugging by retrieving draw calls, shader information, buffers, textures, and pipeline state.
    15
    MIT
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    MCP server for fenestra, a pure-Rust native GUI framework. Renders and verifies native UIs headlessly (no display, no GPU): a typed accessibility tree, semantic query/interact, contrast/focus-order/hit-target checks, screenshot diffing, and motion filmstrips.
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    Apache 2.0
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    Enables AI agents to rapidly drive and inspect real web pages through persistent browser sessions, using accessibility-tree snapshots and DevTools-grade diagnostics to identify and diagnose issues.
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    Enables agents to validate UI designs for missing states, accessibility issues, and journey completeness using state machine modeling.
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    MIT
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    One MCP endpoint, 43 tools for iOS-simulator E2E — native UI automation, Maestro flows, trustworthy oracle-ladder assertions, WebView DOM + network (JSON/HAR), and React Native debugging (Metro logs/network/state). macOS + Xcode.
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    MIT
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    Enables MCP clients to discover, pair with, and control Android phones running the FreeCode Agent app over a local network, including accessibility tree inspection, taps/swipes/text input, screenshots, and live screen streaming.
    8
    Apache 2.0
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    Let AI agents inspect and drive running WPF (.NET desktop) apps: visual tree, dependency properties, data bindings and binding errors, DataContext, screenshots (popups included), plus click, select-item, text input, keyboard shortcuts, live property editing and wait-for — via runtime injection, with no changes to the target app.
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    MIT
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    Enables AI agents to build, test, debug, and interact with Kotlin Multiplatform Mobile (Android/iOS) applications through automated build pipelines, UI automation, crash analysis, and app state inspection.
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    MIT
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    An MCP server for interacting with MockServer, enabling AI assistants to create mock HTTP expectations, verify requests, clear state, and manage MockServer instances programmatically.
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    MIT
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    Enables comprehensive Roku automated testing by combining WebDriver for UI state verification and ECP for device control, allowing validation of acceptance criteria through natural language queries.
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