YouTube Transcript MCP Server
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Alternatives to YouTube Transcript MCP Server
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- AlicenseAqualityDmaintenanceRetrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.42114 npm16MIT
- AlicenseAqualityDmaintenanceEnables fetching, searching, and summarizing YouTube video transcripts with multi-language support.4MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to fetch YouTube video transcripts with precise timestamps, multi-language support, and time-range filtering.31MIT

fetchworks-mcpofficial
AlicenseAqualityCmaintenanceEnables AI agents to retrieve YouTube transcripts from individual videos, channels, and search results, supporting multiple output formats such as plain text, SRT, and VTT.345 npmMIT- AlicenseAqualityCmaintenanceEnables AI assistants to fetch YouTube transcripts with timestamps, search within a video, and keep a local searchable memory of every transcript fetched.4MIT
- AlicenseNot gradedqualityDmaintenanceEnables retrieval of transcripts from YouTube videos, supporting multiple URL formats, language selection, timestamps, and ad filtering.1,237 npmMIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: get_available_languages lists languages, get_transcript fetches full transcripts, get_transcript_summary provides statistical summaries, and search_transcript performs text searches. The descriptions reinforce these distinct roles, making tool selection unambiguous for an agent.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., get_available_languages, get_transcript, get_transcript_summary, search_transcript). The naming is predictable and readable throughout the set, with no deviations in style or convention.
With 4 tools, the server is well-scoped for its purpose of YouTube transcript retrieval and analysis. Each tool earns its place by covering distinct aspects of the workflow (language discovery, full transcript fetching, summarization, and searching), avoiding bloat while providing complete functionality.
The tool set offers complete coverage for the domain of YouTube transcript operations. It includes language discovery, full transcript retrieval, summarization, and searching, with no obvious gaps. Agents can perform all core transcript-related tasks without dead ends or missing operations.