YouTube MCP Server
Provides full control over a YouTube channel, including channel management, video operations (upload, update, delete, set thumbnails), playlists, comments, search, analytics, captions, and video categories.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@YouTube MCP Serverlist my latest videos"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
YouTube MCP Server
A Model Context Protocol (MCP) server that gives AI coding agents full control over a YouTube channel. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible client.
22 tools covering channel management, video operations, playlists, comments, search, analytics, thumbnails, and captions.
What Can It Do?
Category | Actions |
Channel | Get channel info, update description/keywords/trailer |
Videos | List, get details, upload from local file, update metadata, delete, set thumbnails |
Playlists | List, create, update, delete, add/remove videos |
Comments | List comment threads, reply to comments, delete comments |
Search | Search YouTube for videos, channels, or playlists |
Analytics | Channel analytics (views, watch time, subs, revenue), top videos |
Captions | List available captions/subtitles |
Categories | List assignable video categories by region |
Related MCP server: YouTube MCP Server
Quick Start
1. Get Google API Credentials
Go to the Google Cloud Console
Create a project (or select an existing one)
Enable the YouTube Data API v3 and YouTube Analytics API
Create an OAuth 2.0 Client ID (type: Desktop app)
Note your Client ID and Client Secret
2. Install
git clone https://github.com/mrchevyceleb/youtube-mcp.git
cd youtube-mcp
npm install
npm run build3. Set Environment Variables
export GOOGLE_CLIENT_ID="your-client-id.apps.googleusercontent.com"
export GOOGLE_CLIENT_SECRET="your-client-secret"Or create a .env file (it is gitignored):
GOOGLE_CLIENT_ID=your-client-id.apps.googleusercontent.com
GOOGLE_CLIENT_SECRET=your-client-secret4. Authorize
npm run authThis opens an interactive prompt:
It gives you a URL to open in your browser
Sign in with the Google account that owns your YouTube channel
Grant permissions
Copy the authorization code from the redirect URL
Paste it back into the terminal
Tokens are saved locally in tokens.json (gitignored). They auto-refresh, so you only need to do this once.
5. Add to Your MCP Client
Claude Code
Add to your Claude Code MCP config (~/.claude.json or project .mcp.json):
{
"mcpServers": {
"youtube": {
"command": "node",
"args": ["/absolute/path/to/youtube-mcp/dist/index.js"],
"env": {
"GOOGLE_CLIENT_ID": "your-client-id",
"GOOGLE_CLIENT_SECRET": "your-client-secret"
}
}
}
}Cursor
Add to your Cursor MCP settings (.cursor/mcp.json):
{
"mcpServers": {
"youtube": {
"command": "node",
"args": ["/absolute/path/to/youtube-mcp/dist/index.js"],
"env": {
"GOOGLE_CLIENT_ID": "your-client-id",
"GOOGLE_CLIENT_SECRET": "your-client-secret"
}
}
}
}Usage
Once connected, your AI agent gets a single youtube tool with an action parameter. Examples:
Get your channel info
youtube({ action: "get_channel" })List your latest videos
youtube({ action: "list_videos", params: { maxResults: 10, orderBy: "date" } })Update a video's title and tags
youtube({
action: "update_video",
params: {
videoId: "dQw4w9WgXcQ",
title: "New Title",
tags: ["tag1", "tag2", "tag3"]
}
})Upload a video
youtube({
action: "upload_video",
params: {
filePath: "/path/to/my-video.mp4",
title: "How I Built This in 24 Hours",
description: "Full walkthrough of building an app with AI coding agents.",
tags: ["ai", "coding", "tutorial"],
categoryId: "28",
privacyStatus: "unlisted",
playlistId: "PLxxxxxx"
}
})Get analytics for the last 30 days
youtube({
action: "get_analytics",
params: {
startDate: "2026-02-01",
endDate: "2026-03-01",
metrics: ["views", "estimatedMinutesWatched", "subscribersGained"]
}
})Search YouTube
youtube({
action: "search_youtube",
params: { query: "vibe coding", type: "video", maxResults: 5 }
})Set a custom thumbnail
youtube({
action: "set_thumbnail",
params: {
videoId: "dQw4w9WgXcQ",
imageBase64: "<base64-encoded-image>",
mimeType: "image/jpeg"
}
})All 22 Actions
Channel
get_channel- Get channel info (name, stats, branding)update_channel- Update description, keywords, language, country, trailer
Videos
list_videos- List videos from a channel or playlistget_video- Get full video details (stats, tags, status)upload_video- Upload a video from a local file path (resumable, any size)update_video- Update title, description, tags, category, privacydelete_video- Permanently delete a videoset_thumbnail- Upload a custom thumbnail (JPEG/PNG/BMP, max 2MB)
Playlists
list_playlists- List playlists from a channelcreate_playlist- Create a new playlistupdate_playlist- Update playlist title, description, privacyadd_to_playlist- Add a video to a playlistremove_from_playlist- Remove a video from a playlistdelete_playlist- Permanently delete a playlist
Comments
list_comments- List comment threads on a videoreply_to_comment- Reply to a commentdelete_comment- Delete a comment you own
Search
search_youtube- Search for videos, channels, or playlists
Analytics
get_analytics- Channel analytics (views, watch time, subs, revenue)get_top_videos- Top-performing videos by any metric
Captions & Categories
list_captions- List available captions/subtitles for a videolist_categories- List assignable video categories by region
How It Works
This server uses the Model Context Protocol to expose YouTube API operations as tools that AI agents can call. It communicates over stdio, which is the standard transport for local MCP servers.
Under the hood:
YouTube Data API v3 for channel, video, playlist, comment, and search operations
YouTube Analytics API v2 for analytics and top video queries
Google OAuth 2.0 with offline access for automatic token refresh
Zod for input validation on every action
Router pattern to expose all 21 actions as a single tool (reduces context token overhead)
Requirements
Node.js 20+
A Google Cloud project with YouTube Data API v3 and YouTube Analytics API enabled
OAuth 2.0 credentials (Desktop app type)
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
YouTube transcripts, search, channels, playlists and bulk transcript jobs for AI agents. 14 tools.
YouTube transcripts, search, channel browsing, and playlists for AI agents via MCP.
YouTube transcripts, search, channel/playlist listings and upload tracking for AI agents. No signup.
The all-in-one YouTube content engine: research, ideas, thumbnails, scripts, and video.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables interaction with YouTube through the YouTube Data API, allowing users to search for videos, playlists, and channels, generate video titles using AI, and manage YouTube content through natural language commands.22-
- FlicenseNot gradedqualityCmaintenanceEnables AI models to interact with YouTube content through 18 MCP tools for videos, transcripts, channels, and playlists.17 npm-
- FlicenseNot gradedqualityCmaintenanceEnables managing a YouTube channel through natural language: upload videos, edit metadata, set thumbnails, run pseudo A/B thumbnail tests, and pull analytics.-
- AlicenseBqualityCmaintenanceProvides comprehensive access to YouTube Data, Analytics, and Reporting APIs, enabling AI assistants to manage videos, analyze performance, handle comments, and extract transcripts.40MIT