video-toolkit-mcp
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- AlicenseNot gradedqualityAmaintenanceMCP server that gives AI agents video parsing and downloading capabilities, offering tools to extract video info, list formats, and download videos from sites like Bilibili and YouTube via yt-dlp.-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts, metadata, and subtitles from YouTube videos. It supports multiple languages, automatic paragraph segmentation, and video downloading to facilitate content analysis and processing.4 npmMIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that lets your AI download YouTube audio and search videos, powered by yt-dlp and ffmpeg, shipped as a Docker image.MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.1266 npm37MIT
- AlicenseNot gradedqualityBmaintenanceAn asynchronous Model Context Protocol (MCP) server that gives AI models 'eyes and ears' to process web videos. It extracts transcripts and captures screenshots from YouTube and other video platforms.59 npm1MIT
- AlicenseAqualityAmaintenanceMCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.66MIT
TDQS
Scored across 11 tools
Most tools have distinct purposes: download, subtitle generation, transcript retrieval, listing, and transcription. However, generate-subtitles and transcribe-audio both involve speech-to-text, but their outputs (subtitle files vs. plain text/JSON) are different. The descriptions clarify the differences, so ambiguity is minimal.
Tool names use a mix of hyphens (download-video, generate-subtitles) and underscores (transcribe_cancel_job, transcribe_upload_start). The verb-noun pattern is consistent, but the inconsistent separator reduces clarity and predictability.
11 tools cover the core video processing tasks (download, transcribe, subtitle, list) without being excessive. The chunked upload support for large audio files is a reasonable addition, and each tool serves a clear purpose.
The set covers downloading, transcription (with advanced upload handling), subtitle generation, and listing. Missing a tool to delete downloaded files, but the primary workflows are well-supported. The domain is sufficiently covered for typical use.