原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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YouTube MCP

作者:granitebps版本 1.1.1i★ –i在你的电脑上运行
注册名称io.github.granitebps/youtube-mcp

安装

概览

作者提供的说明(英文原文)

Independent, unofficial project for YouTube metadata, transcripts, comments, and search.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 营销与社交媒体
  • 你需要填写:YOUTUBE_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: YT_PROVIDER, YOUTUBE_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": [
        "-y",
        "@granitebps/youtube-mcp"
      ],
      "env": {
        "YT_PROVIDER": "your-value",
        "YOUTUBE_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add youtube --env YT_PROVIDER=your-value --env YOUTUBE_API_KEY=your-value -- npx -y @granitebps/youtube-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": [
        "-y",
        "@granitebps/youtube-mcp"
      ],
      "env": {
        "YT_PROVIDER": "your-value",
        "YOUTUBE_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "youtube": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@granitebps/youtube-mcp"
      ],
      "env": {
        "YT_PROVIDER": "your-value",
        "YOUTUBE_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • YT_PROVIDER env
    Video info/comments/search: "innertube" (default, unofficial, no key) or "api" (official YouTube Data API v3). Transcripts always use unofficial youtube-transcript-plus.
  • YOUTUBE_API_KEY 机密 env
    Your own YouTube Data API v3 key (BYOK). Required when YT_PROVIDER is "api"; not used for transcripts.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 granitebps 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 3575 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3575 个服务器的 62% 更新
  • 基础检查结果等于或优于此分类中其他 3575 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

YouTube MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:YOUTUBE_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.1)于19天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT10天前更新
安装

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT11天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

YouTube MCP

YouTube MCP lets an MCP client read YouTube video metadata, caption transcripts, comments, and search results. By default it needs no YouTube API key or account; an optional official YouTube Data API provider serves metadata, comments, and search with an API key.

Supports both stdio (local) and Streamable HTTP (VPS/remote) transports.

Access model

This is an independent, unofficial open-source project. It is not affiliated with, endorsed by, or sponsored by YouTube or Google.

  • The default innertube provider serves metadata, comments, and search through youtubei.js, using an unofficial/internal YouTube interface without a YouTube Data API key. Unofficial access may change, break, be restricted, or be blocked.
  • Select YT_PROVIDER=api and supply your own YOUTUBE_API_KEY to use the official YouTube Data API v3 for those three tools.
  • Transcript tools always use youtube-transcript-plus, regardless of YT_PROVIDER. Transcript retrieval remains unofficial and does not use the official Data API path or your API key.

Users are responsible for deciding whether an access method suits their use and for complying with applicable service terms and law. See access methods and service terms for the tool/backend mapping, BYOK setup, limitations, and software licenses.

Features

ToolDescription
search_youtubeSearch videos with filters for upload date and popularity
get_video_infoVideo metadata: title, channel, description, duration, views, likes, upload date, tags
get_video_commentsComment threads with author info, likes, and the replies YouTube includes
get_video_transcriptTranscripts (manual + auto-generated captions) with timestamps
get_transcript_languagesLists available manual and auto-generated caption languages
get_server_infoServer version, active provider, and the backend serving each tool

Requirements

  • Node.js 22 or newer. CI checks Node 22.21.0 and Node 24.

No YouTube API key required by default. The default innertube provider uses youtubei.js (an unofficial/internal YouTube interface) for video info, comments, and search. Transcripts always use youtube-transcript-plus. Neither needs an API key or authentication. See Providers for the optional official API.

Quick start

Your MCP client can run the published package without a clone:

npx -y @granitebps/youtube-mcp

The server uses stdio. Keep stdout reserved for MCP traffic.

Run from a cloned repository

To develop the server or use a clone directly:

git clone https://github.com/granitebps/youtube-mcp.git

cd youtube-mcp npm ci npm run build

Point your MCP client at the compiled entry point:

node /absolute/path/to/youtube-mcp/dist/index.js

Run npm run build after each source change. Do not use src or npm run dev as the client's stdio command; build output on stdout can corrupt MCP messages.

Client configuration

Each example starts with the npm package, followed by the local equivalent. Replace /absolute/path/to/youtube-mcp with your clone's path. Settings from Configuration can be added as environment variables.

Claude

Add the npm package to Claude Code:

claude mcp add youtube -- npx -y @granitebps/youtube-mcp

For a local build:

claude mcp add youtube -- node /absolute/path/to/youtube-mcp/dist/index.js

Claude Code uses local scope by default. Add --scope user before youtube to make the server available across projects.

Claude Desktop reads the same server from claude_desktop_config.json (on macOS, ~/Library/Application Support/Claude/claude_desktop_config.json). Restart the app after editing the file.

{

"mcpServers": { "youtube": { "command": "npx", "args": ["-y", "@granitebps/youtube-mcp"] } } }

For a local build, replace command and args with:

{

"command": "node", "args": ["/absolute/path/to/youtube-mcp/dist/index.js"] }

Codex

Add the npm package to ~/.codex/config.toml, or to .codex/config.toml in a trusted project:

[mcp_servers.youtube]

command = "npx" args = ["-y", "@granitebps/youtube-mcp"]

For a local build:

[mcp_servers.youtube]

command = "node" args = ["/absolute/path/to/youtube-mcp/dist/index.js"]

Restart Codex after editing the file.

OpenCode

Add the npm package to opencode.json or opencode.jsonc:

{

"$schema": "https://opencode.ai/config.json", "mcp": { "youtube": { "type": "local", "command": ["npx", "-y", "@granitebps/youtube-mcp"], "enabled": true } } }

For a local build, replace the command array with:

{

"command": ["node", "/absolute/path/to/youtube-mcp/dist/index.js"] }

Cursor

Add the npm package to .cursor/mcp.json in a project, or to ~/.cursor/mcp.json for global use:

{

"mcpServers": { "youtube": { "command": "npx", "args": ["-y", "@granitebps/youtube-mcp"] } } }

For a local build, replace command and args with:

{

"command": "node", "args": ["/absolute/path/to/youtube-mcp/dist/index.js"] }

GitHub Copilot (VS Code)

Add to your VS Code settings.json:

{

"mcp": { "servers": { "youtube": { "command": "npx", "args": ["-y", "@granitebps/youtube-mcp"] } } } }


VPS deployment (Streamable HTTP)

For remote deployment, the server runs as a persistent HTTP service using the Streamable HTTP transport (the current MCP standard, replacing the deprecated SSE transport).

1. Deploy to your VPS
# On your VPS

git clone https://github.com/granitebps/youtube-mcp.git cd youtube-mcp npm ci npm run build

Create .env (optional, for HTTP mode)

cp .env.example .env

Uncomment TRANSPORT=http, PORT, HOST as needed

YouTube often blocks datacenter IPs. If get_video_info returns ACCESS_BLOCKED with "Sign in to confirm you're not a bot", set YT_PROVIDER=api and YOUTUBE_API_KEY to serve metadata, comments, and search through the official API. See Providers.

2. Run with HTTP transport
# Using --http flag

node dist/index.js --http

Or using environment variable

TRANSPORT=http PORT=3000 node dist/index.js

Or using npm script

npm run start:http

The server will listen on http://0.0.0.0:3000/mcp.

3. Set up Nginx reverse proxy with TLS
server {

listen 443 ssl; server_name mcp.yourdomain.com;

ssl_certificate /etc/letsencrypt/live/mcp.yourdomain.com/fullchain.pem; ssl_certificate_key /etc/letsencrypt/live/mcp.yourdomain.com/privkey.pem;

location /mcp { proxy_pass http://127.0.0.1:3000/mcp; proxy_http_version 1.1; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto $scheme;

Required for SSE streaming

proxy_set_header Connection ''; proxy_buffering off; proxy_cache off; chunked_transfer_encoding on; } }

Get a free TLS certificate:

sudo apt install certbot python3-certbot-nginx

sudo certbot --nginx -d mcp.yourdomain.com

4. Keep it running with systemd

Create /etc/systemd/system/youtube-mcp.service:

[Unit]

Description=YouTube MCP Server After=network.target

[Service] Type=simple User=your_user WorkingDirectory=/path/to/youtube-mcp ExecStart=/usr/bin/node dist/index.js --http Restart=always RestartSec=5 Environment=TRANSPORT=http Environment=PORT=3000 Environment=HOST=127.0.0.1

[Install] WantedBy=multi-user.target

sudo systemctl daemon-reload

sudo systemctl enable youtube-mcp sudo systemctl start youtube-mcp sudo systemctl status youtube-mcp

5. Connect MCP clients to your VPS
GitHub Copilot (VS Code) — Remote
{

"mcp": { "servers": { "youtube": { "type": "http", "url": "https://mcp.yourdomain.com/mcp" } } } }

Claude Desktop — Remote
{

"mcpServers": { "youtube": { "type": "streamable-http", "url": "https://mcp.yourdomain.com/mcp" } } }


Usage Examples

Once connected, you can ask your AI agent things like:

  • *"Get info about this YouTube video: https://www.youtube.com/watch?v=dQw4w9WgXcQ"*
  • *"Show me the top comments on video ID abc123"*
  • *"Get the transcript of this video in English"*
  • *"Summarize the transcript of https://youtu.be/xyz789"*
  • *"Search for Node.js tutorials uploaded this week, sorted by views"*
  • *"Find the most popular React videos from the last month"*

Tool Response Format

All tools return:

  • content: short human-readable text for chat-style MCP clients
  • structuredContent: JSON-shaped data for agents that need reliable fields

The server is intentionally JSON-first, text-second. Agents should prefer structuredContent when they need to filter, transform, or chain tool results.

Example shape from get_video_info:

{

"content": [ { "type": "text", "text": "📹 Example title\n\nChannel: Example channel\n..." } ], "structuredContent": { "videoId": "dQw4w9WgXcQ", "title": "Example title", "description": "Example description", "channelName": "Example channel", "channelId": "UC123", "uploadedAt": "Sep 14, 2017", "duration": "3m 33s", "durationSeconds": 213, "viewCount": "123456", "likeCount": "7890", "commentCount": null, "tags": ["music", "pop"], "thumbnailUrl": "https://..." } }

Values YouTube did not provide are null, never placeholders such as "0", "N/A" or "Unknown".

Errors

Failures return isError: true. The text starts with a code (❌ [ACCESS_BLOCKED] ...) and _meta["youtube-mcp/error"] carries the details:

{

"isError": true, "content": [{ "type": "text", "text": "❌ [ACCESS_BLOCKED] YouTube requires sign-in to access video C7OQHIpDlvA: Sign in to confirm you’re not a bot" }], "_meta": { "youtube-mcp/error": { "code": "ACCESS_BLOCKED", "message": "...", "retryable": false, "upstream": { "playabilityStatus": "LOGIN_REQUIRED", "reason": "Sign in to confirm you’re not a bot", "accessKind": "login_required" } } } }

The error is in _meta, not structuredContent, because MCP SDK clients validate any structuredContent against the tool's output schema, even on error results.

CodeMeaning
INVALID_INPUTNot a YouTube URL or 11-character video ID, or an invalid language code
ACCESS_BLOCKEDYouTube refused this client: HTTP 429/403, CAPTCHA, consent page, sign-in or bot check. upstream.accessKind is rate_limited, forbidden, login_required, consent_required, or quota_exceeded (official API quota used up). Says nothing about whether the video exists or has captions

| VIDEO_UNAVAILABLE | YouTube reports the video as ERROR, UNPLAYABLE, private or offline. upstream.reason is

只显示了开头部分;其余内容请在仓库中阅读

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