Youtube Playlist Generator Mcp Server

Created By
danisss97 months ago
A Model Context Protocol (MCP) server that enables AI applications to search for YouTube music videos and manage playlists using the official YouTube Data API v3.
Overview

What is YouTube Playlist Generator MCP Server?

The YouTube Playlist Generator MCP Server is a Model Context Protocol (MCP) server that allows AI applications to search for YouTube music videos and manage playlists using the official YouTube Data API v3.

How to use YouTube Playlist Generator MCP Server?

To use the server, clone the repository, install the dependencies, set up your YouTube Data API key and OAuth credentials, and run the server. You can then interact with it through MCP clients or directly via API calls.

Key features of YouTube Playlist Generator MCP Server?

  • Search for music videos on YouTube with customizable parameters.
  • Retrieve detailed information about specific videos.
  • Manage playlists including creating, editing, and listing videos from public playlists.

Use cases of YouTube Playlist Generator MCP Server?

  1. Searching for specific music videos based on user queries.
  2. Creating and managing personalized playlists for users.
  3. Integrating with AI applications to enhance user interaction with YouTube content.

FAQ from YouTube Playlist Generator MCP Server?

  • What are the prerequisites for using this server?

You need Node.js 18 or higher, a Google Cloud Project with YouTube Data API v3 enabled, and OAuth 2.0 credentials for playlist management.

  • Is there a limit on API usage?

Yes, the YouTube API has daily quota limits and rate limiting applies to API calls.

  • Can I use this server without OAuth?

Yes, but for full playlist management capabilities, OAuth is required.

Server Config

{
  "mcpServers": {
    "youtube-playlist-generator": {
      "command": "node",
      "args": [
        "/absolute/path/to/yt-playlist-generator/build/index.js"
      ],
      "env": {
        "YOUTUBE_API_KEY": "your_youtube_api_key_here",
        "YOUTUBE_CLIENT_ID": "your_client_id_here",
        "YOUTUBE_CLIENT_SECRET": "your_client_secret_here"
      }
    }
  }
}
Project Info
Created At
7 months ago
Updated At
6 months ago
Author Name
danisss9
Star
-
Language
-
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago