youtube mcp server
This server allows AI language models to interact with YouTube content through a standardized interface, providing features such as video and channel information retrieval, transcript management, and playlist operations.
This server allows AI language models to interact with YouTube content through a standardized interface, providing features such as video and channel information retrieval, transcript management, and playlist operations.
A Model Context Protocol (MCP) server implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface.
To install YouTube MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @ZubeidHendricks/youtube --client claude
npm install @modelcontextprotocol/server-youtube
Set the following environment variables:
* YOUTUBE_API_KEY
: Your YouTube Data API key
* YOUTUBE_TRANSCRIPT_LANG
: Default language for transcripts (optional, defaults to 'en')
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>"
}
}
}
}
For one-click installation, click one of the install buttons below:
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}"
}
}
}
}
// 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
});
// 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
});
// 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"
});
# Install dependencies
npm install
# Run tests
npm test
# Build
npm run build
# Lint
npm run lint
See CONTRIBUTING.md for information about contributing to this repository.
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.
npm install
.env.example
to .env
:
cp .env.example .env
.env
and add your YouTube API keynpm start
YOUTUBE_API_KEY
: Your YouTube Data API v3 key (get it from Google Cloud Console)npm run dev
npm run build
Always keep your API keys secure and never commit them to version control.