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    YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.
    1,176
    MIT
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    Exposes Bilibili learning videos to MCP clients, letting them search videos, read descriptions and video metadata, fetch timestamped subtitles, and view top comments for note-taking and Q&A. All summarization is left to the client model, with optional cookie-based login for subtitle access.
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    MIT
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    A local MCP server that bridges Logic Pro MIDI data via an AUv3 plugin, enabling reading, creating, and manipulating MIDI regions and tracks through tools like read_logic_track and create_midi_region.
    8
    MIT
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    Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.
    1
    89 npm
    24
    MIT
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    Create custom playlists, control apple music locally, search apple music catalog, use ai to generate play lists, and more all without needing an apple developer account or giving the MCP server special privileges.
    1
    MIT
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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.
    5
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    Apache 2.0
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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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    Exposes Steam Web API tools as MCP resources for Claude Code, Claude Desktop, and Gemini CLI, enabling profile lookups, game searches, achievement tracking, and more.
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    MIT
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    Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.
    3
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    MIT
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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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    A lightweight service that provides cross conversation temporary information storage and retrieval for AI agents, supporting step-by-step processing of complex tasks.
    4
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    Apache 2.0
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    An MCP server that exposes the PokéAPI as tools and resources, allowing AI assistants to look up Pokémon data in real time without configuration.
    22
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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.
    7
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    Apache 2.0
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    Mercury Spec Ops MCP Server is a dynamic prompt generation and template assembly tool based on a modular architecture. It is suitable for the interaction between AI assistants and professional content, and supports the dynamic generation of 31 technology stacks, 10 analysis dimensions and 34 templat
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    Apache 2.0
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    An MCP server that provides real-time date, time and time zone information for AI assistants.
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    Apache 2.0
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    drand-mcp-server is a service that provides verifiable random numbers for model-driven processes in AI applications, supporting the acquisition of random numbers by time or round.
    3
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    Apache 2.0
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    Hugeicons MCP Server is a TypeScript based server that provides integrated tools and resources for the Hugeicons icon library, supporting icon search, retrieval, and usage guides for multiple platforms.
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    Apache 2.0
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    Bazi MCP is an AI based Bazi calculator that provides accurate Bazi chart data for personality analysis and destiny prediction.
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    Apache 2.0
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    A comprehensive guide and template collection for building model Context Protocol (MCP) servers using FastMCP and deploying them to Google Cloud Run.
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    Apache 2.0