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"using-the-internet-for-searches" matching MCP servers:

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    A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.
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    Apache 2.0
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    Fast, minimal YouTube 'watch' engine for AI agents that extracts clean transcripts, searches, and slices any YouTube video without requiring an API key.
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    MIT
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    Enables to query Xbox Live profiles, current games, recent games, and activity for any Xbox player using the OpenXBL API. Supports gamertag resolution and provides rich presence details.
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    MIT
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    The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.
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    Apache 2.0
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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 querying the Chzzk live-streaming platform for channels, live broadcasts, search, and VODs using natural language.
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    MIT
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    Production-grade Model Context Protocol server for YouTube intelligence. Extract, analyze, and automate insights from YouTube channels and videos using the official YouTube Data API v3. Built for AI agents, automation pipelines, and content intelligence workflows.
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    MIT
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    An MCP server that connects AI assistants to the Steam Web API and storefront, enabling game library analysis, mood-based backlog recommendations, wishlist evaluation, and storefront searches.
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    Enables AI assistants to query the MusicBrainz music database for artists, albums, recordings, and labels. It provides tools for advanced searches, detailed metadata retrieval, and accessing cover art information.
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    GPL 3.0
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    The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.
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    Apache 2.0
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    Connects AI assistants to the Hardcover book library, enabling natural language book searches, reading status updates, list management, and library exploration.
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    MIT
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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