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"Linux-compatible version of Cursor" matching MCP servers:

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    MCP server for Scribefy — extract YouTube transcripts from Claude Desktop, Cursor, Windsurf, ChatGPT custom GPTs, or any other MCP-compatible client.
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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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    A WHOIS domain name query server based on Model Context Protocol (MCP), supporting the resolution of over 877 top-level domains and 169 country code top-level domains, and providing comprehensive domain name registration information query functions.
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    Apache 2.0
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    MCP server for the OMDb API - search movies, series, and episodes from any MCP-compatible client.
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    MIT
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    A Python MCP server that wraps the Gelbooru API. Connect it to any MCP-compatible client (Claude Desktop, Cursor, etc.) to search posts, look up tags, and generate Stable Diffusion prompts from real character appearance data — all directly from your AI assistant.
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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.
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    Apache 2.0
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    Enables YouTube content browsing, video searching, and metadata retrieval via the YouTube Data API v3. It also facilitates fetching video transcripts for summarization and analysis within MCP-compatible AI clients.
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    A lightweight MCP server that enables AI assistants like Cursor and Claude to control Spotify playback, playlists, and manage tokens via OAuth.
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    An MCP server that wraps the TMDB API, enabling search of movies and TV shows, retrieval of details, trending titles, recommendations, and streaming provider information.
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    Enables control of Spotify playback and management of liked songs through natural language. Supports play/pause controls, track information retrieval, and adding songs to your Spotify library.
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    MIT
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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