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    The network-change verifier for AI agents: validate a BGP or routing change in a real containerlab lab before it reaches production, and get a pass, fail or inconclusive verdict with evidence. Runs on FRR, Nokia SR Linux, SONiC and Arista cEOS.
    8
    392 PyPI
    5
    Apache 2.0
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    Godot 4 MCP server with: Test running (GUT/GdUnit4) with structured pass/fail results API docs search with 30+ Godot 3→4 migration mappings Script analysis detecting 10 common GDScript pitfalls Scene/resource file parsing with antipattern detection Viewport screenshot capture LSP diagnostics from Godot's language server TypeScript, cross-platform (macOS/Windows/Linux), published on npm
    8
    74 npm
    9
    MIT
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    Provides a local-first, governed MCP foundation where QA engineers can check server health and capabilities, read a status resource, use an orientation prompt, and validate non-secret configuration, profiles, and credential references without exposing secrets. External provider integrations, test execution, and release reporting are not yet implemented and remain scaffolded.
    2
    MIT
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    Enables headless debugging of Windows executables from Linux/macOS hosts by orchestrating winedbg's gdbserver and a GDB client, exposing 19 tools for launch, attach, breakpoints, stepping, register/memory access, and session lifecycle.
    MIT
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    Enables an LLM agent to drive a real iPhone (iOS 27+) over USB from Windows, Linux, or macOS with nothing installed on the phone, reading the foreground app's accessibility tree as a numbered element list and injecting HID touches, swipes, and keyboard/paste text while waiting on video frames to settle. Each action returns the refreshed element list, giving one round trip per step.
    MIT
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    Enables supported AI clients to connect to and automate the Unity Editor, covering scene and GameObject manipulation, asset and material operations, script creation and validation, testing, builds, screenshots, and editor-state inspection. It supports HTTP and stdio transports and ships client configuration helpers for Unity 2021.3+ on Windows, Linux, and macOS.
    MIT
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    Enables local AI coding assistants to operate remote Linux EDA clusters over persistent SSH/SCP for digital IC design, simulation, formal property verification, UVM testbench generation, static linting, and Git-backed workspace synchronization.
    MIT
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    Enables AI agents to automate and observe Linux desktop GUIs on KDE Plasma 6 Wayland through isolated virtual sessions or live desktop connections, providing 30 tools for input, clipboard, accessibility tree inspection, screenshots, and window management.
    2
    MIT
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    Enables AI agents to automate Linux desktop GUI by launching and interacting with Wayland applications in isolated virtual KWin sessions, or connecting to live desktops for collaborative automation.
    157 PyPI
    77
    MIT
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    Enables inspecting ONNX models, probing the deployment environment, and benchmarking inference latency and FPS either locally or on remote SSH targets such as Linux workstations and Jetson devices. Benchmark results are validated against FPS, P95 latency and model-size constraints to produce PASS/FAIL deployment gates.
    111 npm
    MIT
  • A
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    A
    maintenance
    Enables AI agents to inspect, automate, and test desktop GUI applications on Wayland through window/desktop streaming, semantic AT-SPI accessibility tree inspection, and boundary-clamped mouse, keyboard, drag, and scroll input injection. It also manages application process lifecycle, captures window frames, and registers Python GUI scripts as native Linux desktop launchers.
    1
    MIT
  • A
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    A six-tool stdio MCP server that lets Claude Code, Codex and other agents submit a candidate change for before/after test execution and bounded StrykerJS mutation analysis inside resource-limited offline Linux containers. It returns explicit pass, fail or inconclusive verdicts bound to exact source, dependency, policy and image hashes, plus findings for removed, skipped or excluded tests.
    9 npm
    1
    MIT
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    maintenance
    A TypeScript-based test implementation for the Model Context Protocol (MCP) with example configurations and Jest test cases. Provides a development foundation for building and testing MCP server functionality.
    5 npm
    MIT
  • F
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    AI-controlled browser farm — run N isolated Chromium instances with 36 MCP tools for device emulation, screenshots, network/geolocation simulation, and diagnostics. Cross-platform: Windows GUI + headed/headless on Linux/macOS.
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