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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
    2,837 PyPI
    4
    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
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    74 npm
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    MIT
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    Lints local Markdown files or whole directory trees for broken relative links and images, empty link targets or text, heading hierarchy problems, and common README issues. Only relative targets on disk are checked, so external http(s) links are never fetched.
    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 agents to lint MCP tool schemas inside a conversation, flagging JSON Schema constructs that break specific clients like Claude, Cursor, Gemini, VS Code Copilot, and OpenAI. It reports per-client compatibility, explains rules, and suggests or applies safe auto-fixes before deployment.
    1,495 npm
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    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 check email HTML for delivery-breaking problems before sending, returning structured diagnostics with rule id, severity, line and column, along with a tool that lists every available rule. It runs with no filesystem, network or environment access, so agents can validate markup without gaining new permissions.
    182 npm
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    MIT
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    Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.
    20 npm
    MIT
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    A procurement scenario MCP server for testing whether pending work can resume after a service restart, comparing legacy and modern continuation. It uses SQLite for data persistence and demonstrates real MCP protocol messages.
    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.
    155 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
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    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.
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    MIT
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    Enables intelligent Go code quality checking with smart change detection through golangci-lint integration. Automatically detects branch development scope and focuses on current changes to avoid historical code issues.
    3 npm
    MIT
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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.
    8 npm
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    MIT
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    Enables AI agents to verify physical admissibility of S-parameter models and coupling matrices, preventing reasoning about impossible physics.
    Apache 2.0
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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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    Enables AI assistants to lint, render, fix, inspect, and find free space in KiCad schematics and PCBs, providing visual feedback and safe automated text fixes.
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    MIT
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    Serves configurable fake service worlds as MCP tools with fault injection, recording every call and enabling seeded pytest assertions on final state.
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    Apache 2.0