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"Enhancing Prompt Engineering with MCP" matching MCP servers:

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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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    Generates creative illustration prompts featuring characters from the Love Live! franchise (μ's, Aqours, Nijigasaki, Liella!, Hasunosora, and Ikizurai) with randomized settings including characters, locations, times, actions, and items.
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    Connects Claude AI to Ableton Live through the Model Context Protocol, enabling prompt-assisted music production with track creation, instrument loading, clip editing, and session control. Allows users to create complete musical arrangements by describing what they want in natural language.
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    MIT
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    Newsbang MCP is a powerful Model Context Protocol (MCP) server that provides access to real-time news intelligence through three essential tools: get_today_top_news,search_news,get_news_deep_report_and_analysis
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    MIT
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    Enables interacting with YouTube Data API v3 through MCP tools (get-video, get-channel, get-latest-video) and bundled UI apps for video and channel profiles.
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    MIT
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    Enables controlling a Teenage Engineering EP-133 K.O. II via natural language, converting plain language into MIDI commands for triggering pads, playing scales, and sequencing patterns.
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    MIT
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    An MCP server that enables users to control Spotify playback, search for music, and manage playlists through MCP-compatible clients. It supports features like track recommendations and playback management using secure OAuth authentication.
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    MIT
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    Bridges AI assistants to Autodesk ShotGrid (Flow Production Tracking) data, enabling CRUD, search, batch operations, and schema exploration via typed MCP tools with progressive loading.
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    MIT
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    MCP server for searching, discovering, and exploring Chinese long-form video content from WeTV and Tencent Video, enabling AI assistants to recommend dramas, variety shows, anime, and movies with play links, ratings, and episode info.
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    MIT
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    Enables interaction with the *arr media management suite (Sonarr, Radarr, Lidarr, Prowlarr, SABnzbd) and TRaSH Guides through MCP tools, allowing media library management, searching, and configuration via natural language.
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    MIT