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    Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.
    11
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    Enables AI assistants to generate and edit images using Google's Gemini 2.5 Flash Image API with intelligent prompt enhancement. Supports text-to-image generation, image editing with natural language instructions, and advanced features like character consistency and multi-image blending.
    1
    4,602 npm
    171
    MIT
  • A
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    B
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    Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.
    5
    1,330 npm
    MIT
  • A
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    Enables searching, retrieving metadata, and downloading YouTube videos or audio without requiring an API key. It utilizes yt-dlp to support media retrieval and playlist management within MCP-compliant clients like Claude and Cursor.
    8
    1
    MIT
  • A
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    C
    maintenance
    Enables Claude and other AI assistants to generate high-quality images up to 4K resolution using Google's Gemini image models, with support for flexible aspect ratios, natural language editing, and Google Search grounding for accurate results.
    4
    12
    MIT
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    Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.
    57
    MIT
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    ModelRunner is a hosted remote MCP server that lets AI assistants run 100+ AI models. One connection exposes every model as a callable tool: search the catalog, inspect a model's input schema, run inference with run_model, and get results back as hosted URLs directly in the conversation.
    MIT
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    C
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    Enables editing inside an open Premiere Pro project by reading the real timeline, applying cuts and transcript-based cleanup in place, and verifying results with rendered frames from the Program Monitor.
    MIT
  • A
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    B
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    Enables AI agents to control Autodesk Flame through MCP using multiple execution paths such as the Flame Python API, native commands, raw Python, UI automation, and other tools, with observation and verification of results.
    MIT
  • A
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    A local MCP bridge that lets AI agents build and edit real TouchDesigner networks by creating and wiring operators, setting parameters and expressions, validating the network, and viewing rendered image previews to iterate on results.
    MIT
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    Lets AI agents read frame-accurate video review notes — timestamps, frames, annotations, and pointing targets tied to source elements — so they can fix rendered videos and re-check the results. Supports listing reviews, retrieving annotated frames, watching for new feedback, acknowledging, replying, resolving, dismissing, and leaving their own critique notes.
    368 npm
    3
    MIT