youtube-mcp-server
by
MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics
What is youtube-mcp-server
YouTube MCP Server
A Model Context Protocol (MCP) server implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface.
Features
Video Information
- Get video details (title, description, duration, etc.)
- List channel videos
- Get video statistics (views, likes, comments)
- Search videos across YouTube
Transcript Management
- Retrieve video transcripts
- Support for multiple languages
- Get timestamped captions
- Search within transcripts
Channel Management
- Get channel details
- List channel playlists
- Get channel statistics
- Search within channel content
Playlist Management
- List playlist items
- Get playlist details
- Search within playlists
- Get playlist video transcripts
Installation
Installing via Smithery
To install YouTube MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @ZubeidHendricks/youtube --client claude
Manual Installation
npm install @modelcontextprotocol/server-youtube
Configuration
Set the following environment variables:
YOUTUBE_API_KEY
: Your YouTube Data API keyYOUTUBE_TRANSCRIPT_LANG
: Default language for transcripts (optional, defaults to 'en')
Using with MCP Client
Add this to your MCP client configuration (e.g. Claude Desktop):
{
"mcpServers": {
"youtube": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-youtube"],
"env": {
"YOUTUBE_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Using with VS Code
For one-click installation, click one of the install buttons below:
Manual Installation
If you prefer manual installation, first check the install buttons at the top of this section. Otherwise, follow these steps:
Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P
and typing Preferences: Open User Settings (JSON)
.
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "apiKey",
"description": "YouTube API Key",
"password": true
}
],
"servers": {
"youtube": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-youtube"],
"env": {
"YOUTUBE_API_KEY": "${input:apiKey}"
}
}
}
}
}
Optionally, you can add it to a file called .vscode/mcp.json
in your workspace:
{
"inputs": [
{
"type": "promptString",
"id": "apiKey",
"description": "YouTube API Key",
"password": true
}
],
"servers": {
"youtube": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-youtube"],
"env": {
"YOUTUBE_API_KEY": "${input:apiKey}"
}
}
}
}
YouTube API Setup
- Go to Google Cloud Console
- Create a new project or select an existing one
- Enable the YouTube Data API v3
- Create API credentials (API key)
- Copy the API key for configuration
Examples
Managing Videos
// Get video details
const video = await youtube.videos.getVideo({
videoId: "video-id"
});
// Get video transcript
const transcript = await youtube.transcripts.getTranscript({
videoId: "video-id",
language: "en"
});
// Search videos
const searchResults = await youtube.videos.searchVideos({
query: "search term",
maxResults: 10
});
Managing Channels
// Get channel details
const channel = await youtube.channels.getChannel({
channelId: "channel-id"
});
// List channel videos
const videos = await youtube.channels.listVideos({
channelId: "channel-id",
maxResults: 50
});
Managing Playlists
// Get playlist items
const playlistItems = await youtube.playlists.getPlaylistItems({
playlistId: "playlist-id",
maxResults: 50
});
// Get playlist details
const playlist = await youtube.playlists.getPlaylist({
playlistId: "playlist-id"
});
Development
# Install dependencies
npm install
# Run tests
npm test
# Build
npm run build
# Lint
npm run lint
Contributing
See CONTRIBUTING.md for information about contributing to this repository.
License
This project is licensed under the MIT License - see the LICENSE file for details.# YouTube MCP Server
A YouTube API integration using the Model Context Protocol.
Setup
- Clone the repository
- Install dependencies:
npm install
- Copy
.env.example
to.env
:cp .env.example .env
- Edit
.env
and add your YouTube API key - Start the server:
npm start
Environment Variables
YOUTUBE_API_KEY
: Your YouTube Data API v3 key (get it from Google Cloud Console)
Development
- To run in development mode with auto-reload:
npm run dev
- To build:
npm run build
Security Note
Always keep your API keys secure and never commit them to version control.
Leave a Comment
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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