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youtube-intel-mcp

by svx2027

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to analyze video footage or URLs and return ranked, license-safe BGM matches with hook windows, beat/cut hints, and ffmpeg ducking or mix specs. It also supports batch mood clustering, brand kits, preview beds, and attribution-aware exports without shipping raw video payloads.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to ingest video files or URLs, analyze the footage for mood, energy, speech, scenes, and BPM, and get back a shortlist of license-safe BGM tracks with the license printed on every row. Also returns hook in/out windows, beat-snapped cut suggestions, and ready-to-run ffmpeg ducking and mix specs for editors and MCP clients.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP clients such as Claude and Copilot to ingest YouTube videos into a persistent, compounding wiki knowledge base by combining transcripts with scene-change vision analysis, then answer natural-language questions by searching the compiled pages and returning candidates and structure for the client's own model to reason over. No API key is required in MCP mode, and knowledge from each new video enriches existing entity, topic, and concept pages.
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