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lecture-assistant-mcp

lecture-assistant-mcp

by wjddusrb03

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Turns YouTube videos into a compounding, cross-referenced wiki knowledge base by extracting transcripts and analyzing scene-change frames with a vision model. Enables agents to search and reason over the compiled pages, answering questions with source citations via passthrough mode that needs no API key.
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    • A
      license
      A
      quality
      B
      maintenance
      Enables building a local, searchable knowledge base from YouTube videos, with research, transcript retrieval, and timestamped citations.
      4
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Turns YouTube videos into a persistent, cross-referenced wiki by extracting transcripts and describing scene-change frames with vision models. Enables MCP clients like Claude and Copilot to search and reason over this compounding knowledge base without needing an API key.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables users to turn YouTube videos into a compounding knowledge base by extracting transcripts, detecting scene changes, generating vision-based frame descriptions, and building a searchable wiki. It supports agentic natural-language querying over the accumulated knowledge for MCP clients like Claude and Copilot.
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    • A
      license
      B
      quality
      D
      maintenance
      Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.
      10
      14 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Transforms YouTube videos into a persistent, compounding knowledge wiki by extracting transcripts plus scene-change frames described by a vision model, then merging entities, topics, and concepts into cross-referenced pages. Enables natural-language questioning over that compiled knowledge, letting Claude, Copilot, or other MCP clients reason over the results without needing an API key.
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