YouTube Data MCP Server
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Alternatives to YouTube Data MCP Server
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables MCP-compatible assistants to retrieve caption text from YouTube videos as either plain text or timestamped snippets for reading, summarizing, or searching. Supports local stdio and stateless HTTP deployments for integration with Claude Desktop, Claude Code, Cursor, and similar clients.MIT
- AlicenseAqualityDmaintenanceEnables users to extract, search, and analyze YouTube video transcripts directly within MCP-compatible clients. It supports advanced features like time-chunked summaries, keyword searching with surrounding context, and batch processing for multiple videos.4MIT
- 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.658 PyPI6MIT
- FlicenseNot gradedqualityDmaintenanceMCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).-
- FlicenseNot gradedqualityBmaintenanceEnables users to fetch YouTube video transcripts via a single MCP tool, with support for multiple languages and OAuth-protected access.-
- AlicenseAqualityDmaintenanceEnables YouTube search, video details, channels, playlists, and comments scraping via MCP, no API key required.1014 npm1MIT
TDQS
Scored across 5 tools
Each tool targets a distinct YouTube data aspect: transcript, video metadata, comments, comment replies, and search. There is no overlap or ambiguity between them.
Four tools follow a consistent 'get' + noun pattern (getTranscript, getVideoInfo, getComments, getCommentReplies), but searchYoutube deviates by using a verb-noun phrase. The pattern is mostly consistent and readable.
With 5 tools, the server is well-scoped for YouTube data retrieval. Each tool serves a clear and necessary function without excessive granularity or missing core operations.
The tool set covers major YouTube data retrieval needs: search, video info, transcript, comments, and replies. Minor gaps exist (e.g., playlist or channel details) but the core workflows are well supported.