YouTube Comments MCP Server

YouTube Comments MCP Server

Enables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.

Category
Visit Server

README


yt_mcp — YouTube Comments MCP Server

一個遵循 Model Context Protocol (MCP) 的本機伺服器。提供工具:

  • fetch_comments(videoUrl, order="relevance|time", max=300) 以 YouTube Data API v3 取得並展開 頂層留言+回覆,回傳 JSON 字串

需求

  • Python 3.10+
  • 已啟用 YouTube Data API v3 的 API 金鑰

安裝

uv venv
source .venv/bin/activate
uv pip install "mcp[cli]" httpx python-dotenv

設定金鑰(擇一)

A. 用 .env(推薦)

在專案根目錄建立 .env

YOUTUBE_API_KEY=YOUR_API_KEY_HERE

B. 寫在客戶端設定的 env(見下方範例)


在 Claude Desktop 使用(本機 STDIO)

  1. 開啟:Settings → Developer → Local MCP servers → Edit Config
  2. 加入(請把絕對路徑換成你的實際路徑):
{
  "mcpServers": {
    "yt_comments": {
      "command": "<abs path>/yt_mcp/.venv/bin/python",
      "args": ["<abs path>/yt_mcp/server.py"],
      "env": { "YOUTUBE_API_KEY": "YOUR_API_KEY" }  // 若已用 .env,可移除此段
    }
  }
}

也可不填 env,改用專案根目錄的 .env

  1. 回到 Local MCP servers 啟動 yt_comments
  2. 新開對話請 Claude 呼叫:
yt_comments.fetch_comments(
  videoUrl="https://www.youtube.com/watch?v=XXXXXXXXXXX",
  order="relevance",
  max=300
)

接著請模型做摘要/分類/翻譯並輸出報告。


在 MCP Inspector 測試

  • TransportSTDIO
  • Command<abs path>/yt_mcp/.venv/bin/python
  • Arguments<abs path>/yt_mcp/server.py
  • Environment(可選)YOUTUBE_API_KEY=YOUR_API_KEY

輸出格式(節選)

{
  "video_id": "abcdEFGhijk",
  "order": "relevance",
  "requested": 300,
  "total_returned": 278,
  "items": [
    {
      "id": "...",
      "parentId": null,
      "author": "Somebody",
      "publishedAt": "2025-01-01T12:34:56Z",
      "likeCount": 42,
      "text": "Great video!"
    }
  ]
}

Troubleshooting

  • Missing YOUTUBE_API_KEY.env 或設定的 env 補上金鑰,並確認金鑰已啟用 YouTube Data API v3
  • 找不到 server.py 在設定裡把 args 改用絕對路徑(例如 "/Users/you/yt_mcp/server.py")。
  • ModuleNotFoundError 確認已在虛擬環境內安裝相依套件("mcp[cli]" httpx python-dotenv)。
  • HTTP 403/400 可能是配額不足、影片關閉留言、或金鑰權限未開。

安全

  • .env 已在 .gitignore 中,請勿提交金鑰。
  • 若曾不小心提交金鑰,請 旋轉金鑰 並清理 Git 歷史。

授權

MIT License

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured