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Help AI agents understand local videos and search moments by content.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.huseyinstif/klaket-mcp" MCP server from askskill: Run: claude mcp add 'io-github-huseyinstif-klaket-mcp' -- npx -y klaket-mcp
Analyze this local video and find the exact timestamps and chapters where "product launch plan" is mentioned.
Returns relevant timestamps, chapter names, and matching video moment locations.
Watch this local interview video, summarize the main points by speaker, and mark the segments where each person appears.
Outputs a speaker-based summary with the corresponding segments or time ranges.
Analyze the scene changes in this local video and find all segments where demo screens appear.
Lists the relevant scene segments for quick navigation and review.
Researchers or product managers can let AI read local video transcripts, chapters, and segment data to quickly find where a topic appears. This reduces the time spent manually scrubbing through long videos.
Writers or researchers can use speaker information to see who said what and jump back to the matching segments for verification. This is useful for interviews, meeting recordings, and similar video materials.
When users only want specific visuals or a certain chapter, they can have AI filter video segments using scene and chapter structure. This makes review and navigation much faster.
This is an MCP tool that lets AI agents "watch" local videos. Based on the provided description, it supports transcripts, speakers, scenes, chapters, and moment search.
Known capabilities include local video transcripts, speaker information, scenes, chapters, and moment-based search. For detailed fields or output formats, check the source repository.
The provided material does not include installation steps, dependencies, or API key requirements. Please check the source repository for prerequisites.
Transcribe, search, and analyze videos with structured summaries, key points, and verdicts.
Analyze videos with frame extraction, scene detection, and metadata retrieval.
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Analyze videos with transcripts, summaries, scene breakdowns, clips, and Q&A.
Let LLMs watch local videos and search previously viewed content.