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    Provide access to Iconify's MCP server with over 200,000 open-source vector ICONS, supporting icon set browsing, searching, and obtaining multi-framework usage examples.
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    Apache 2.0
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    A Taiwan holiday query server based on Model Context Protocol (MCP), providing accurate information on scheduled holidays and make-up working days, supporting multiple query methods and integration with AI tools.
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    Apache 2.0
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    An MCP server integrated with Microsoft Edge's high-quality speech synthesis capabilities, supporting multilingual speech generation, audio merging, and cloud storage.
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    Apache 2.0
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    A server based on Model Context Protocol (MCP), providing a standardized interface for interacting with Quick Chart and supporting chart generation and management.
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    Apache 2.0
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    Provides a standardized interface to fetch and deliver jokes, including Chuck Norris jokes by category, to AI agents. It enables integration with tools like GitHub Copilot and Microsoft Copilot Studio to respond to humor-related user requests.
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    MIT
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    MCP server enabling AI agents to search, download, and manage JMComic manga via natural language, with dynamic configuration and skill injection.
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    MIT
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    Enables users to fetch jokes from various categories including Chuck Norris jokes and dad jokes. Provides a humor-focused experience through natural language requests integrated with Microsoft Copilot Studio.
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    MIT
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    A lightweight, database-free, configuration-free HTTP proxy server with built-in data sources, suitable for rapid development and testing.
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    Apache 2.0
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    An MCP server for XUI.ONE IPTV panels that covers four layers (server provisioning, admin API, reseller API, and player API), enabling an assistant to manage IPTV infrastructure from bare server to working panel.
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    MIT
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    A comprehensive MCP server with 36 tools for tracking TV shows and movies, managing watchlists, and syncing ratings with Trakt.tv. It enables users to search extensive databases, check into current viewings, and receive personalized recommendations through natural language commands.
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    MIT