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    Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.
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    A Model Context Protocol (MCP) server for authenticated REST APIs. Drop it into any project, point it at your API, and let AI agents call endpoints — with auto-login, 2FA support, Swagger spec fetch, and fuzzy endpoint search — all without writing a single line of auth code.
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    MIT
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    Enables control of the iOS Simulator using the xcrun simctl command-line utility. It allows users to manage devices, install and launch apps, send push notifications, and simulate device features like GPS location.
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    12
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    Integrates the LINE Messaging API with AI agents via the Model Context Protocol, supporting both stdio and SSE transport protocols. It allows agents to send messages, manage rich menus, and retrieve user profile information for LINE Official Accounts.
    Last updated
    10
    1,490
    Apache 2.0
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    Enables AI assistants to send LINE messages, including text, stamps, Flex Messages, and check message quotas through the LINE Messaging API.
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    Enables AI agents to send messages, manage rich menus, and interact with users through LINE Official Accounts via the LINE Messaging API. Supports both individual messaging and broadcasting to all followers with text and customizable flex messages.
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    18
    1,490
    Apache 2.0
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    Enables AI tools to read and send messages through LINE Desktop via MCP, supporting manual or automatic sending without official LINE API tokens.
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    MIT
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    Provides AI agents with 8 stress-relief tools like coffee breaks, Netflix watching, and bathroom breaks, featuring dynamic stress/boss alert level management with creative responses. Includes comprehensive testing suite and command-line parameter support for boss alertness configuration.
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    2
    MIT
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    A comprehensive toolkit that enhances LLM capabilities through the Model Context Protocol, allowing LLMs to interact with external services including command-line operations, file management, Figma integration, and audio processing.
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    30
    Apache 2.0