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742,126 tools. Updated 2026-11-04 15:04

"Video content analysis and understanding for large language models" matching MCP tools:

  • Retrieve technical metadata from a Cloudglue video file including duration, resolution, file size, and processing status. Use when you need video specifications instead of content analysis.
    MIT
  • Generate AI images or videos asynchronously by submitting a task and polling for the result. Supports text-to-image, image-to-video, reference-to-video, and video editing models.
    MIT
  • Localize a finished video into another language without re-rendering: keep timing, native voice, lip-sync, and background; provide video and target language to get a localized video URL.
    MIT
  • Extract audio from video URLs on 1000+ sites at maximum speed for transcription and analysis. Uses multi-connection downloads to isolate spoken content without saving video.
    MIT
  • List transcript languages for a YouTube video by its 11-character video ID, including language code, auto-generated status, and translation support. Pick a language before requesting a transcript.
    MIT

Matching MCP Servers

  • A
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    Enables users to turn GIFs, local videos, and Bilibili videos into timestamped, queryable, and verifiable frame evidence and event timelines, while passing extracted frames to the current session's model instead of calling an external vision API.
    MIT

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  • List available Modelflare API models your key can call, with docs links and request contracts; filter by image, video, or text, defaulting to image and video.
    MIT
  • Manage ad rules, content metadata, and content bundles for video monetization. Create, update, retrieve, and perform actions on these entities.
    MIT
  • List Pollinations image and video models with filters for modality, pricing, capabilities, and search to choose the right model before generation.
    Apache 2.0
  • Lists all available transcripts for a YouTube video, including language codes and auto-generation status. Useful for finding a transcript language when the direct fetch fails.
    MIT
  • Discover available Kling video generation models and their capabilities. Compare options and use cases to select the right model for your video.
    MIT
  • Retrieve cached resource content from web pages to analyze JavaScript, CSS, HTML, and other files for understanding API patterns, endpoints, and data models.
    MIT
  • Describe a VideoClip layer's visual content as timestamped segments with a video-understanding model, sampling frames across the window and returning prose text and tags in source time.
    MIT
  • Split a YouTube video transcript into equal time segments for focused analysis. Extract markdown-formatted text with timestamps, enabling easy navigation and detailed study of specific parts of the content.
    MIT