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Youtube Research MCP Server

@lee-s-dev

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基本情報

カテゴリ

データと分析

トランスポート

stdio

作者

lee-s-dev

投稿者

이상준

Youtube Research MCP Server について

YouTube MCP server — transcripts, comments & channel analysis as AI research source

Youtube Research MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "youtube-research": {
      "command": "uvx",
      "args": [
        "youtube-research-mcp"
      ]
    }
  }
}

Youtube Research MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Youtube Research Mcp?

A server that integrates YouTube subtitles, comments, and channel data as research sources for AI assistants via the Model Context Protocol (MCP). It works with any MCP‑capable AI client (Claude Desktop, Cursor, Windsurf, Cline, etc.) and requires no API key for subtitle and channel analysis; an optional YouTube Data API key unlocks video search and comment analysis.

How to use Youtube Research Mcp?

Install it with uvx youtube-research-mcp (recommended, requires uv) or pip install youtube-research-mcp. Then configure your MCP client (e.g., Claude Desktop’s claude_desktop_config.json) with the command uvx and arguments ["youtube-research-mcp"]. To use all features, set the environment variable YOUTUBE_API_KEY. Restart the client after configuration.

Key features of Youtube Research Mcp

  • Fetch video subtitles without any API key.
  • Analyze multiple videos in parallel (subtitles + optionally comments).
  • Analyze a YouTube channel’s recent videos.
  • Search videos by keyword (requires API key).
  • Collect video comments and discussions (requires API key).
  • Cache results in local SQLite to avoid redundant API calls.
  • Prompt injection defense via a safety_notice field.
  • No external data transmission or LLM calls.

Use cases of Youtube Research Mcp

  • Summarize the key points of a single YouTube video.
  • Compare arguments, commonalities, and differences across multiple videos.
  • Analyze recent content trends of a specific YouTube channel.
  • Search for videos on a topic and collect their subtitles and comments for research.
  • Compare creator claims with real audience reactions (comments).

よくある質問

1

Do I need a YouTube API key?

No, for fetching subtitles and channel metadata. A free API key is required only for video search and comment collection (daily quota of 10,000 units).

2

Is it safe to install and use?

Yes. The server only fetches data from YouTube and caches it locally. It never sends collected data to external servers, never calls any LLM or AI API, never accesses files outside its cache directory, and never executes shell commands. Source code is public on GitHub.

3

What data is cached and for how long?

Subtitles are cached for 30 days, comments for 6 hours, search results for 2 hours, and video metadata permanently. Caching reduces duplicate API calls.

4

Where is the cache stored?

Default locations: macOS `~/Library/Application Support/youtube-research-mcp/cache.db`, Windows `%APPDATA%\youtube-research-mcp\cache.db`, Linux `~/.local/share/youtube-research-mcp/cache.db`. Override with the `YOUTUBE_RESEARCH_CACHE_DB` environment variable.

5

How do I install Youtube Research Mcp?

Use `uvx youtube-research-mcp` (recommended, requires `uv`) or `pip install youtube-research-mcp`. For pip installations, set the MCP client’s command to `"youtube-research-mcp"` with empty `args`.

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