mcp-youtube-transcript
Related Servers
Alternatives to mcp-youtube-transcript
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.1708591MIT
- 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.12MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support.17081MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.55MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables AI assistants to extract transcripts from YouTube videos, allowing AI to analyze and work with video content directly.153MIT
- AlicenseAqualityCmaintenanceA Model Context Protocol server enabling AI language models to search, retrieve, and manage YouTube content including videos, channels, transcripts, and playlists.10349MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'get_transcripts' follows a clear verb_noun pattern.
A single tool is too few for a server focused on YouTube transcripts, as it lacks operations like searching transcripts, managing multiple videos, or handling errors. This minimal scope limits functionality and agent workflows.
The tool set is severely incomplete for the domain of YouTube transcript processing. It only provides extraction (get_transcripts), missing essential operations such as searching within transcripts, listing available languages, or handling video metadata, which are common needs in this context.