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Alternatives to YouTube MCP Server

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Related Servers

  • F
    license
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    quality
    D
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    A Model Context Protocol server providing comprehensive read-only access to YouTube data, including video search, transcripts, and channel forensics. It features 16 specialized tools designed for content analysis and metadata retrieval in LLM applications.
    2
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    A Model Context Protocol server enabling AI language models to search, retrieve, and manage YouTube content including videos, channels, transcripts, and playlists.
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  • A
    license
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    quality
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    Production-grade Model Context Protocol server for YouTube intelligence. Extract, analyze, and automate insights from YouTube channels and videos using the official YouTube Data API v3. Built for AI agents, automation pipelines, and content intelligence workflows.
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TDQS

A4.2/5.0

Scored across 4 tools

Disambiguation5/5

Each tool targets a clearly distinct resource: channel data, search results, transcripts, and video metadata. There is no overlap in purpose—the channel tool returns channel/playlist info, search returns result blocks, transcript returns timed subtitles, and video returns single-video metadata. An agent would have no trouble selecting the right tool for a given task.

Naming Consistency5/5

All four tools follow the identical `hasdata_youtube_<domain>_getYoutube<Domain>` pattern (e.g., `hasdata_youtube_channel_getYoutubeChannel`). The naming is fully consistent in structure, verb, and case, making it predictable and easy to remember.

Tool Count5/5

The server exposes exactly four tools, which is well-scoped for a YouTube data retrieval purpose. It covers the core read operations—channel lookup, search, transcript, and video details—without unnecessary bloat. Each tool earns its place, and the count is neither too thin nor excessive.

Completeness4/5

The tool set covers the primary read-only workflows for YouTube: fetching channel data (including playlists and posts), searching, retrieving video metadata, and getting transcripts. Minor gaps exist, such as a dedicated method for channel video lists (though the channel tool can fetch the videos tab) or comments, but the core lifecycle for data retrieval is well covered. Agents can achieve most tasks without dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues