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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.
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    MCP server for Takes, a free, open-source Mac teleprompter and recorder for talking-head videos. It lets an AI assistant write scripts and storyboards, manage takes, make edits and draft the posts for LinkedIn, X, YouTube and Shorts.
    77
    38
    MIT
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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.
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    4,638 npm
    MIT
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    MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.
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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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    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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    Renders validated declarative scene specifications into MP4 videos inside disposable, network-disabled containers, then serves an embedded player with playback controls and diagnostics through MCP Apps. Users can iteratively revise scenes conversationally, with revision history preserved and identical renders reused per account.
    MIT
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    Enables AI clients to drive local video editing projects through a CEP bridge, covering media ingest, sequence and timeline editing, effects, keyframes, captions, markers, audio, color, and exports across hundreds of discoverable tools. Ships context resources, guided prompts, and higher-level assembly workflows for agent-driven editing.
    4,638 npm
    MIT
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    Provides a headless video editing workflow using portable JSON projects and Kdenlive for review, enabling automated video rendering and project management.
    13
    Apache 2.0
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    Enables AI agents to see and control Android devices through ADB and screen mirroring, supporting screen capture, touch input, app management, UI element finding, file transfer, shell commands, clipboard access, and audio/video streaming.
    365 npm
    MIT
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    Enables agents and workflows to query Google NotebookLM notebooks through both MCP and a plain HTTP REST API, returning citation-backed answers with source excerpts and handling multi-account rotation with automatic re-authentication. Also generates and downloads Studio artifacts such as audio overviews, videos, infographics, reports, presentations, data tables, flashcards, quizzes, and mind maps.
    2,962 npm
    MIT
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    Enables supervised control of OBS Studio over obs-websocket v5, including scene and input management, audio/filter toggles, and starting or stopping streams, recordings, replay buffer, and virtual camera, with dry-run writes and redacted secrets. It also supports a rate-limited chat co-producer for Twitch, YouTube, Kick, and X that maps privileged viewer commands to OBS scene changes.
    558 npm
    MIT
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    A powerful text extraction service that converts YouTube video content into clean, timestampless transcripts for content analysis, research, and processing workflows.
    3
    Apache 2.0
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    Enables AI assistants to estimate monocular depth maps from local or remote images and frame-by-frame video using bundled ONNX Depth Anything V2 models, without requiring PyTorch. Also exposes tools for listing and pre-downloading checkpoints and checking the runtime backend, with automatic GPU/CPU selection.
    Apache 2.0
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    Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.
    MIT
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    A local MCP proxy for BibiGPT that lets users summarize videos and audio through a single proxy URL, injecting BibiGPT API keys with round-robin rotation, auth-error retry, and hot-reload, exposing 32 MCP tools for summarization, subtitles, chapters, saved videos, notes, collections, channels, feeds, Notion export, mind maps, and more.
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