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    Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.
    8
    -
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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.
    9
    7
    MIT
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    Exposes the Home Assistant Automation API integration as MCP tools so an AI agent can manage automations, helpers and template entities, Lovelace dashboards, entity/device/config-entry registries, recorder history, and native entity state and service calls without hand-editing YAML.
    58
    MIT
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    Enables AI agents to integrate with IBM Business Automation Workflow by exposing workflow REST services as MCP tools, allowing natural language interaction with business automation capabilities.
    11
    Apache 2.0
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    Enables secure, deny-by-default automation of Windows windows with per-action permissions, allowing observation, clicking, typing, and dragging on approved applications while verifying target identity and focus at runtime.
    Apache 2.0
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    Enables AI agents to programmatically control and automate VSCode by interacting with its UI, executing commands, and inspecting the DOM structure. It supports advanced workflows like UI testing, extension development, and debugging through a standalone VSCode instance.
    10 npm
    8
    MIT
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    Enables AI assistants to automate macOS desktop tasks including mouse control, keyboard input, screenshots, window management, and UI interaction.
    11 npm
    413
    MIT
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    Enables agents to query synthetic work orders and append work logs through MCP, enforcing permission checks, state validation, and idempotent retry handling.
    MIT
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    Lets an LLM like Claude inspect and control an automation job queue — list jobs, check status, trigger new runs, retry failures, and pull queue-wide stats through natural language.
    MIT
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    A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.
    41 npm
    34
    MIT