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YouTube Research MCP

YouTube Research MCP

by jindratilk

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      An MCP server that provides YouTube data access without API keys or quotas. It enables agents to search videos, retrieve transcripts and metadata, and perform full-text search across cached content for AI context retrieval.
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      A production-ready MCP server for YouTube integration with intelligent caching. Enables searching videos, retrieving transcripts, analyzing channels, and monitoring live streams via natural language.
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    TDQS

    A4.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: search discovers videos, fetch reads specific videos, channel lists a single channel's videos with outlier scoring, and doctor diagnoses connectivity. The only mild overlap is that search and channel both return video lists, but their query-based vs. per-channel framing is spelled out clearly.

    Naming Consistency4/5

    All tools share the youtube_ prefix and snake_case, giving a strong predictable pattern. There is a minor deviation in that search/fetch are verbs while channel/doctor are nouns, but the convention is still readable and consistent.

    Tool Count5/5

    Four tools is well-scoped for a focused research server, and each earns its place: discovery, deep reading, channel analysis, and diagnostics. No tool feels redundant or tacked on.

    Completeness4/5

    The surface covers the core research lifecycle: find videos, read transcripts/frames/comments, analyze channels, and self-diagnose failures. Minor gaps remain, such as no dedicated playlist handling or channel/creator search, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues