YouTube Summary MCP Server
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Alternatives to YouTube Summary MCP Server
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Related Servers
- FlicenseNot gradedqualityDmaintenanceMCP server for YouTube video summarization via Whisper transcription, enabling summarization and transcript retrieval without relying on subtitles.-
- AlicenseNot gradedqualityCmaintenanceThis MCP server enables users to analyze YouTube videos by extracting transcripts and generating specialized content like summaries, chapter timestamps, and social media posts.Apache 2.0
- FlicenseNot gradedqualityCmaintenanceMCP server for YouTube that provides tools to fetch video metadata and transcripts, enabling natural language queries about YouTube videos.2-
- AlicenseBqualityDmaintenanceAn MCP server designed to fetch transcripts for YouTube videos. It enables AI tools to access video text content for tasks like summarization, analysis, and key takeaway extraction.174MIT
- AlicenseAqualityCmaintenanceAn MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.2MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that extracts YouTube video transcripts (including metadata) as Markdown, enabling AI to summarize and discuss video content without watching it.MIT
TDQS
Scored across 4 tools
Each tool targets a distinct output type: transcript, summary, key points, and metadata. There is no overlap in purpose, and the descriptions clearly differentiate them.
All tools follow a consistent verb_noun pattern (get_transcript, summarize_video, extract_key_points, get_video_metadata) using snake_case. The naming is uniform and predictable.
With 4 tools, the server is well-scoped for a YouTube summary MCP. Each tool covers a fundamental operation without unnecessary bloat or thinness.
The toolset provides a complete lifecycle for the stated purpose: fetching transcript, generating summary, extracting points, and retrieving metadata. No obvious gaps exist for a summary-focused server.