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    Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.
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    Apache 2.0
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    Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.
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    MIT
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    A safe, structured Model Context Protocol server for the local Apple Music app on macOS. It lets an MCP client inspect a library, analyze and manage playlists, control playback, edit supported metadata, and keep a local audit trail.
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    MIT
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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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    An encrypted and secure random number generation server that complies with the MCP protocol, suitable for AI applications, LLMS, and other systems that require high-quality random numbers.
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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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    Relying on a global honeypot network and an IP intelligence analysis platform built with millions of nodes, it provides precise IP profiling and threat early warning services.
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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.
    MIT