2Sense
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AlicenseNot gradedqualityFmaintenanceDecode any video ad, load brand information, and generate ad scripts from inside MCP-compatible clients like Claude and ChatGPT.MIT- FlicenseNot gradedqualityDmaintenanceBridges Claude and video content by extracting keyframes and transcribing audio, enabling Claude to analyze video files.-
- FlicenseBqualityDmaintenanceMCP server that enables video analysis capabilities to Claude, including frame extraction, scene detection, and video metadata retrieval.8-
- AlicenseAqualityCmaintenanceEnables AI agents to analyze public Reels, TikTok, and YouTube Shorts by extracting timestamped transcripts, visual understanding, and searchable video maps, then query specific moments via MCP tools.82MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to read and watch online videos (YouTube, TikTok, Douyin, Facebook, Instagram) by pasting a link, providing summaries, transcripts, frame analysis, and metadata.MIT
- AlicenseAqualityBmaintenanceEnables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.11MIT
TDQS
Scored across 4 tools
Tools have largely distinct purposes: analyze_ad combines visual and audio ad analysis, audio_events focuses on event detection, audio_profile on musical attributes, and transcribe on speech transcription. Some overlap exists (analyze_ad includes transcription), but descriptions clarify boundaries.
Naming is inconsistent: analyze_ad uses verb_noun with underscore, audio_events and audio_profile use noun_noun, and transcribe is a single verb. No consistent pattern emerges.
With 4 tools, the set is slightly lean but covers essential analysis tasks for audio/video. Each tool serves a clear purpose, though there is room for additional utilities.
The tool surface covers core ad analysis (visual frames, transcription, audio events, music profiling). Missing features like emotional analysis or speaker identification are minor gaps not critical for the primary use case.