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    Wine pairing intelligence for AI assistants. 7 MCP tools for sommelier-grade wine recommendations: pair wines with meals, ingredients, or recipe URLs, reverse pairing, group dinner planning, and search. Powered by a proprietary Wine DNA algorithm with 600+ wine archetypes. Supports API key and x402 (USDC on Base) autonomous agent payments.
    7
    99 npm
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    MIT
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    Enables interaction with Microsoft Copilot Studio Agents through the Direct Line 3.0 API, allowing users to start conversations, send messages, retrieve history, and end conversations directly from their code editor.
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    MIT
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    Enables users to convene an AI-driven roundtable of historical and modern advisors, automatically triaging career or life questions to the appropriate panel for diverse opinions and structured meeting minutes.
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    MIT
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    A locally-run MCP server that connects to Twine's story library, enabling AI-assisted story management, passage editing, link-graph analysis, and narrative intelligence from any MCP-compatible client.
    32 npm
    5
    MIT
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    Gives Claude Code, Claude Desktop, Cursor and any other MCP client a local sound studio that turns plain-language requests into background music, instrument loops and sound effects, then re-styles, regenerates or extends them and exports seamless loops, fades and loudness-normalized WAV, OGG or FLAC files. Everything runs on Apple Silicon with no cloud service and no API key.
    467
    MIT
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    This MCP server enables MCP clients to generate background music, instrument loops, and sound effects from plain-language prompts, then edit them (variation, inpainting, extension) and finish them into seamless loops, fades, loudness-normalized WAV/OGG/FLAC files. All generation runs locally on your own machine without cloud services or API keys, with reproducible prompt/seed metadata saved alongside each output.
    MIT
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    Lets MCP clients such as Claude Code, Claude Desktop and Cursor generate background music, instrument loops and sound effects locally on Windows from plain-language prompts. It also edits and processes the results — variations, inpainting, extension, trimming, loudness normalization, seamless looping and WAV/OGG/FLAC export for game engines and video editors.
    4
    MIT
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    Enables human-in-the-loop interaction for AI coding workflows through native desktop dialogs that present route choices, text input, and image annotation capabilities when AI assistants encounter decision points.
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    MIT