MCP Connector

Integrate with YouTube API

YouTube MCP Server lets an AI assistant search YouTube videos and create, list, and manage playlists via the YouTube Data API v3.

Works with youtubegithubnpm

15
Spark score
out of 100
Updated Aug 2025
Source checked Sep 15, 2026
Version 1.0.0
Models
universal

Add to Favorites

Why it matters

Connect to the YouTube API to search for videos, manage playlists, and interact with YouTube content directly from MCP clients.

Outcomes

What it gets done

01

Search for videos on YouTube

02

Create and manage YouTube playlists

03

Add and remove videos from playlists

04

View user's existing playlists

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-youtube-mcp | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

Agent outcome reports

No reports yet

Capabilities

Tools your agent gets

search_videos

Search for videos on YouTube by query

create_playlist

Create a new YouTube playlist

add_video_to_playlist

Add a video to a YouTube playlist

list_playlists

View user's YouTube playlists

delete_playlist

Delete a YouTube playlist

Overview

YouTube MCP Server

YouTube MCP Server connects an AI assistant to the YouTube Data API v3, letting it search videos and create, list, add to, or delete playlists. Read-only search works with an API key alone; playlist management requires OAuth 2.0 credentials with a refresh token. Use it when an assistant needs to search YouTube or manage playlists on the user's behalf; it doesn't upload videos or manage channel settings.

What it does

YouTube MCP Server connects Claude Desktop or other MCP clients to the YouTube Data API v3, letting an agent search YouTube videos and create, list, and delete playlists, and add videos to them - directly from a chat interface instead of the YouTube web UI.

When to use - and when NOT to

Use it when you want an agent to search YouTube or manage your own playlists - creating a playlist, adding videos to it, listing your playlists, or deleting one - on your behalf. It needs a Google Cloud project with the YouTube Data API v3 enabled and either an API key (read-only access, e.g. search) or OAuth 2.0 credentials with a refresh token (for playlist management, which needs write access).
It's scoped to search and playlist operations specifically - it does not upload videos, moderate comments, or manage channel settings, none of which the source documents. Skip the OAuth setup if you only need read-only search; an API key alone covers that.

Capabilities

Search YouTube videos by query. Create and delete playlists. Add videos to an existing playlist. List the authenticated user's playlists. Read operations (search) can run on an API key alone; playlist creation, modification, and deletion require OAuth 2.0 credentials (Client ID, Client Secret, and a refresh token) since they write to the user's YouTube account.

How to install

Requires Node.js 18+, a Google Cloud Console account, and YouTube Data API v3 access. Install from npm:

npm install -g @a.ardeshir/youtube-mcp

or from GitHub (git clone + npm install). In Google Cloud Console: create or select a project, enable "YouTube Data API v3" under APIs & Services > Library (allow 2-3 minutes to propagate), then create OAuth 2.0 credentials under APIs & Services > Credentials - configure the OAuth consent screen (External or Internal, with the https://www.googleapis.com/auth/youtube scope and your email as a test user), choose "Web application," and add the redirect URI http://localhost:8080/callback. Optionally also create a restricted API key for read-only access. Then run the OAuth setup wizard - youtube-mcp-setup for the npm install, or npm run auth-setup from GitHub - which prompts for the Client ID and Secret, opens a browser for Google authorization, generates a refresh token, and writes a .env file. Finally, add the server to Claude Desktop's config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac), setting YOUTUBE_API_KEY, YOUTUBE_CLIENT_ID, YOUTUBE_CLIENT_SECRET, and YOUTUBE_REFRESH_TOKEN in the server's env block - via npx -y @a.ardeshir/youtube-mcp for the npm install, or node /path/to/youtube-mcp/index.js for the GitHub install. Never commit the .env file to version control, and rotate credentials regularly; the project is MIT licensed.

Who it's for

Anyone who wants an AI assistant to search YouTube or manage their own YouTube playlists conversationally, instead of clicking through the YouTube web interface.

Source README

YouTube MCP Server

A Model Context Protocol (MCP) server for YouTube API integration. Search videos, manage playlists, and interact with YouTube directly through Claude Desktop or other MCP clients.

Features

  • 🔍 Search YouTube videos
  • 📋 Create and manage playlists
  • ➕ Add videos to playlists
  • 📝 List user playlists
  • 🗑️ Delete playlists

Prerequisites

  • Node.js 18 or higher
  • YouTube Data API v3 access
  • Google Cloud Console account

Installation

Option 1: Install from npm (Recommended)

npm install -g @a.ardeshir/youtube-mcp

Option 2: Install from GitHub

git clone https://github.com/aardeshir/youtube-mcp.git
cd youtube-mcp
npm install

Setup

1. Set Up YouTube API

Step 1: Create a Google Cloud Project
  1. Go to Google Cloud Console
  2. Create a new project or select existing one
  3. Note your Project ID
Step 2: Enable YouTube Data API v3
  1. In Google Cloud Console, go to "APIs & Services" > "Library"
  2. Search for "YouTube Data API v3"
  3. Click on it and press "Enable"

Common Issue: If you see "YouTube Data API v3 has not been used in project before or it is disabled", wait 2-3 minutes after enabling for it to propagate.

Step 3: Create OAuth 2.0 Credentials
  1. Go to "APIs & Services" > "Credentials"
  2. Click "+ CREATE CREDENTIALS" > "OAuth client ID"
  3. If prompted, configure OAuth consent screen:
    • Choose "External" (or "Internal" for Workspace)
    • Fill required fields (app name, support email)
    • Add your email as a test user
    • For scopes, add: https://www.googleapis.com/auth/youtube
  4. For Application type, select "Web application"
  5. Add authorized redirect URI: http://localhost:8080/callback
  6. Save and note your Client ID and Client Secret
Step 4: Get API Key (Optional - for read-only access)
  1. Go to "APIs & Services" > "Credentials"
  2. Click "+ CREATE CREDENTIALS" > "API key"
  3. Restrict the key to YouTube Data API v3

2. Authenticate

Run the OAuth setup wizard:

If installed via npm:

youtube-mcp-setup

If installed from GitHub:

npm run auth-setup

This will:

  1. Prompt for your Client ID and Client Secret
  2. Open browser for Google authorization
  3. Generate refresh token automatically
  4. Create .env file with your credentials

3. Configure Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

If installed via npm:

{
  "mcpServers": {
    "youtube-mcp": {
      "command": "npx",
      "args": ["-y", "@a.ardeshir/youtube-mcp"],
      "env": {
        "YOUTUBE_API_KEY": "your-api-key",
        "YOUTUBE_CLIENT_ID": "your-client-id",
        "YOUTUBE_CLIENT_SECRET": "your-client-secret",
        "YOUTUBE_REFRESH_TOKEN": "your-refresh-token"
      }
    }
  }
}

If installed from GitHub:

{
  "mcpServers": {
    "youtube-mcp": {
      "command": "node",
      "args": ["/path/to/youtube-mcp/index.js"],
      "env": {
        "YOUTUBE_API_KEY": "your-api-key",
        "YOUTUBE_CLIENT_ID": "your-client-id",
        "YOUTUBE_CLIENT_SECRET": "your-client-secret",
        "YOUTUBE_REFRESH_TOKEN": "your-refresh-token"
      }
    }
  }
}

Usage Examples

Search Videos

Search YouTube for "piano tutorials"

Create Playlist

Create a YouTube playlist called "My Favorites" 

List Playlists

Show my YouTube playlists

Troubleshooting

"YouTube Data API v3 has not been used in project before"

  • Ensure API is enabled in Google Cloud Console
  • Wait 2-3 minutes for changes to propagate
  • Check you're using correct project

"Invalid Credentials" error

  • Verify OAuth consent screen is configured
  • Ensure test user email is added
  • Check redirect URI matches exactly: http://localhost:8080/callback

MCP not connecting in Claude Desktop

  • Check all environment variables are set
  • Restart Claude Desktop after config changes
  • Verify Node.js path is correct

"Quota exceeded" error

  • YouTube API has daily quotas
  • Check Google Cloud Console for usage
  • Consider requesting quota increase

Security Notes

  • Never commit .env file to version control
  • Keep your refresh token secure
  • Use OAuth for production, API key only for testing
  • Regularly rotate credentials

FAQ

Common questions

Discussion

Questions & comments · 0

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