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YouTube Transcript MCP Server

YouTube Transcript MCP Server

by windows10fan648
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

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    • mcp-youtube-transcript

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      Enables 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.
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    • yt-intel MCP Server

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      Enables MCP clients to query YouTube channel health, diagnose video performance, full-text search transcripts, and vet topics/scripts directly from an editor or chat interface.
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    • youtube-mcp

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      Enables AI assistants to fetch YouTube video transcripts and metadata without sign-in, and access signed-in users' own YouTube account data such as subscriptions, playlists, uploads, and caption tracks via OAuth 2.0.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 3 tools

    Disambiguation2/5

    get_youtube_transcript and summarize_youtube_transcript both fetch a publicly available caption track, and the latter does not actually summarize internally, making their boundary unclear. list_youtube_transcript_languages is distinct, but the two fetch tools overlap significantly.

    Naming Consistency5/5

    All tools use a consistent snake_case verb_youtube_transcript... pattern: get, summarize, and list. The convention is predictable despite the semantic inaccuracy of 'summarize'.

    Tool Count4/5

    Three tools is a reasonable, well-scoped count for a narrow transcript retrieval server. However, summarize_youtube_transcript is largely redundant with get_youtube_transcript, so not every tool clearly earns its place.

    Completeness4/5

    The server covers the core read-only transcript workflow: discovering available languages and fetching captions. Minor gaps remain, such as no server-side summarization or explicit plain-text transcript retrieval, but the main operations are present.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources