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bjornwalther

yt-transcript-mcp

by bjornwalther
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Python
Remote

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Alternatives to yt-transcript-mcp

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  • yt-transcript

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    Enables AI agents to fetch the transcript, description, and comments of any YouTube video so they can read, summarize, and analyze video content. It ships a four-layer anti-blocking fallback cascade and disk caching for reliable, low-cost retrieval without API keys.
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  • rippr

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    Extract YouTube transcripts for AI agents, RAG pipelines, and LLM workflows. Supports any YouTube URL. Returns clean text or timestamped segments. No API keys required.
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  • YouTube MCP Server

    dreadster3
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    Exposes public YouTube data — transcripts with timestamps and language listings, keyword search, video metadata and statistics, comments, channels, channel uploads, and categories — as read-only tools an LLM can call over stdio. It runs as a single local process using only a YouTube Data API key, with SQLite caching, quota tracking, and no OAuth or account access.
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  • YouTube Transcript + Search

    tubeagentkit
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    Enables AI clients to pull full transcripts from YouTube videos, search videos and channels, browse a channel's complete upload history, search within a single channel, and extract every video in a playlist through one hosted remote endpoint. It supports API-key or OAuth 2.1 sign-in with no local installation, returning metadata and paginated results with stable error codes.
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TDQS

A4.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusing it with another. The tool's purpose is narrowly and clearly defined.

Naming Consistency5/5

The single tool name 'fetch_transcript' follows a clear verb_noun convention. There are no other names to contradict this pattern.

Tool Count3/5

One tool is borderline for a server, but it is reasonable for a narrowly focused YouTube transcript service. It feels thin if broader video or transcript management is expected, though the scope appears intentionally minimal.

Completeness4/5

The tool covers the core need of fetching a transcript with useful options like markdown output, caching, and provenance. Minor gaps exist around listing available transcripts or explicitly choosing languages, but these are workable and not fatal for the stated purpose.

Maintenance

ActivitySlowing
ResponsivenessNo issues

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