video-mcp
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Alternatives to video-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables link type detection, video downloading, metadata extraction, and transcript generation across 16+ platforms including YouTube, Bilibili, and WeChat Channels. Supports automatic subtitle extraction and optional Whisper speech-to-text for videos without captions.2MIT
- AlicenseAqualityAmaintenanceEnables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.42MIT
- AlicenseNot gradedqualityDmaintenanceConverts YouTube and Bilibili videos into structured knowledge articles using local transcription or subtitle extraction combined with AI-powered summarization. It supports multiple summary styles and provides tools to process URLs, track job status, and retrieve results directly within MCP-compatible agents.64MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.1MIT
- FlicenseNot gradedqualityCmaintenanceEnables extracting timestamped transcripts from YouTube and TikTok URLs, including title, channel, and duration, via a single tool.-
- AlicenseAqualityCmaintenanceExtracts watermark-free videos and images from Douyin (TikTok) and Xiaohongshu (RedNote) share links, with optional AI-powered video transcription support.422 PyPI23Apache 2.0
TDQS
Scored across 2 tools
The two tools are related but have clear output differences: get_transcript writes the full transcript to a file, while summarize_video generates a Markdown summary. An agent could confuse them in edge cases, but the descriptions clarify their distinct purposes.
Both tool names follow the same verb_noun pattern in snake_case: get_transcript and summarize_video. This is fully consistent and predictable.
Two tools is minimal for a video-focused MCP server, covering only transcription and summarization. It is not an extreme mismatch, but the surface feels thin for the broad 'video-mcp' name.
For the apparent purpose of extracting video transcripts and generating summaries, the two core workflows are covered. However, there is no direct way to retrieve the full transcript inline, which is a minor but workable gap.