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  • A
    license
    Not graded
    quality
    D
    maintenance
    A Tauri plugin that enables AI agents to interact with Tauri applications through screenshots, DOM inspection, and input simulation via the Model Context Protocol. It allows agents to perform actions like clicking, typing, and executing JavaScript within the application's webview context.
    728 npm
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables searching a checked-in index of official Tauri 2 documentation through a read-only, stdio-based MCP tool, returning bounded results with titles, canonical URLs, sections, context, and version information.
    3
    213 npm
    1
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Enables AI assistants to automate and test Tauri desktop applications through the Model Context Protocol. It provides tools for app management, UI interaction, and state inspection across multiple platforms without requiring CDP dependencies.
    14
    728 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    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.
    9
    7
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server that enables AI assistants to build, test, and debug Tauri v2 applications through UI automation (screenshots, clicks, typing, element finding), IPC monitoring, log streaming, and mobile device management.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.
    MIT
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.
    34
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