YouTube Transcript Server
YouTubeトランスクリプトサーバー
YouTube動画からトランスクリプトを取得できるモデルコンテキストプロトコルサーバーです。シンプルなインターフェースから動画のキャプションや字幕に直接アクセスできます。
Smithery経由でインストール
Smithery経由で Claude Desktop 用の YouTube Transcript Server を自動的にインストールするには:
npx -y @smithery/cli install @kimtaeyoon83/mcp-server-youtube-transcript --client claudeコンポーネント
ツール
トランスクリプトを取得する
YouTube動画からトランスクリプトを抽出する
入力:
url(文字列、必須): YouTube 動画の URL または動画 IDlang(文字列、オプション、デフォルト: "en"): トランスクリプトの言語コード (例: 'ko'、'en')
Related MCP server: YouTube Transcript Extractor MCP
主な特徴
複数のビデオ URL 形式のサポート
言語固有のトランスクリプト検索
応答の詳細なメタデータ
構成
Claude Desktop で使用するには、次のサーバー構成を追加します。
{
"mcpServers": {
"youtube-transcript": {
"command": "npx",
"args": ["-y", "@kimtaeyoon83/mcp-server-youtube-transcript"]
}
}
}ツール経由でインストール
mcp-getモデルコンテキストプロトコル (MCP) サーバーをインストールおよび管理するためのコマンドラインツール。
npx @michaellatman/mcp-get@latest install @kimtaeyoon83/mcp-server-youtube-transcript素晴らしいMCPサーバー
awesome-mcp-servers素晴らしい Model Context Protocol (MCP) サーバーの厳選されたリスト。
発達
前提条件
Node.js 18以上
npmまたはyarn
設定
依存関係をインストールします:
npm installサーバーを構築します。
npm run build自動リビルドを使用した開発の場合:
npm run watchテスト
npm testデバッグ
MCPサーバーはstdio経由で通信するため、デバッグが困難になる場合があります。開発にはMCP Inspectorの使用をお勧めします。
npm run inspectorエラー処理
サーバーは、一般的なシナリオに対して堅牢なエラー処理を実装しています。
動画のURLまたはIDが無効です
利用できないトランスクリプト
言語の可用性の問題
ネットワークエラー
使用例
ビデオ URL でトランスクリプトを取得:
await server.callTool("get_transcript", {
url: "https://www.youtube.com/watch?v=VIDEO_ID",
lang: "en"
});ビデオIDでトランスクリプトを取得:
await server.callTool("get_transcript", {
url: "VIDEO_ID",
lang: "ko"
});ClaudeデスクトップアプリでYouTubeの字幕を抽出する方法
chat: https://youtu.be/ODaHJzOyVCQ?si=aXkJgso96Deri0aB Extract subtitlesセキュリティに関する考慮事項
サーバー:
すべての入力パラメータを検証します
YouTube API エラーを適切に処理します
トランスクリプトの取得にタイムアウトを実装します
トラブルシューティングのための詳細なエラーメッセージを提供します
ライセンス
このMCPサーバーはMITライセンスに基づいてライセンスされています。詳細はLICENSEファイルをご覧ください。
Available Tools
1 toolget_transcriptC
Extract transcript from a YouTube video URL or ID
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | YouTube video URL or ID | |
| lang | Yes | Language code for transcript (e.g., 'ko', 'en') | en |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions extraction but doesn't disclose behavioral traits like rate limits, authentication needs, error handling, or what happens if the video lacks a transcript. This leaves significant gaps for an agent to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema, the description is incomplete. It doesn't explain return values, error cases, or operational constraints, which are crucial for a tool that interacts with external services like YouTube. This leaves the agent with insufficient context for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description implies parameters for URL/ID and language, but the input schema already has 100% coverage with clear descriptions for 'url' and 'lang'. The description adds minimal value beyond the schema, so it meets the baseline of 3 for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'extract' and the resource 'transcript from a YouTube video', making the purpose specific and understandable. However, with no sibling tools mentioned, it cannot differentiate from alternatives, so it doesn't reach the highest score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It only states what the tool does, with no context for usage decisions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- First observed
get_transcript
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as extracting transcripts from YouTube videos, making it distinct by default.
The single tool name follows a clear verb_noun pattern (get_transcript), which is consistent and predictable. There are no other tools to compare against, so no inconsistency can exist.
A single tool is too few for a server that might be expected to handle YouTube transcripts comprehensively. While it covers extraction, there are likely gaps such as searching transcripts, handling errors, or managing multiple videos, making the scope feel thin and incomplete.
The server is severely incomplete for a YouTube transcript domain. It only provides extraction, missing obvious operations like searching within transcripts, listing available transcripts, or handling transcript formats (e.g., timestamps, languages), which are common needs in this context.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
An MCP server that gives any LLM or agent clean YouTube transcripts on demand: a single video, a whole channel, or a playlist, plus AI cleanup of auto-generated captions. API-key auth, credit-based, same backend as the public v1 API. Get a free API key with 25 free credits at youtubetranscriptdownload.com/account.
MCP server for RiverScript, an AI transcription platform - fetches transcripts shared via a link.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Search YouTube, read video metadata, and fetch transcripts with language preferences
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