Xiaozhi YouTube MCP
Enables searching and playing songs via YouTube Data API v3, returning YouTube playback URLs.
README
Xiaozhi YouTube MCP
A complete Model Context Protocol server that lets Xiaozhi or another MCP client search songs through the official YouTube Data API v3 and receive a YouTube playback URL.
What it provides
youtube_search_song: returns up to 10 Music-category results.youtube_play_song: returns the best result for direct voice commands.youtube_get_video: resolves an 11-character video ID to metadata and playback links.- YouTube title, channel, description, thumbnail, ISO-8601 duration, duration in seconds, view count, and embeddability.
- stdio transport for desktop/local MCP clients.
- Streamable HTTP transport for a hosted Xiaozhi backend.
- Docker, Docker Compose, validation, error handling, cache, and tests.
Playback limitation
The official YouTube Data API returns video metadata and YouTube URLs; it does not return direct MP3/AAC media streams. This MCP therefore returns:
youtubeUrl:https://www.youtube.com/watch?v=...embedUrl:https://www.youtube.com/embed/...
Playback requires a YouTube-capable client or an approved handoff to a YouTube player. This project intentionally does not extract or proxy YouTube media streams.
1. Create an API key
- Create or select a Google Cloud project.
- Enable YouTube Data API v3.
- Create an API key.
- Restrict the key to YouTube Data API v3 and, where practical, to your server IP.
2. Run locally
cp .env.example .env
# Edit .env and set YOUTUBE_API_KEY
npm install
npm run build
npm start
The default transport is stdio. Never write normal logs to stdout in stdio mode; this server logs startup messages to stderr.
Example MCP client configuration:
{
"mcpServers": {
"youtube": {
"command": "node",
"args": ["/absolute/path/xiaozhi-youtube-mcp/dist/src/index.js"],
"env": {
"YOUTUBE_API_KEY": "YOUR_KEY",
"YOUTUBE_REGION_CODE": "VN",
"YOUTUBE_RELEVANCE_LANGUAGE": "vi"
}
}
}
}
Run directly with npx
After the package is published to npm:
YOUTUBE_API_KEY=YOUR_KEY npx --yes xiaozhi-youtube-mcp
For Streamable HTTP mode:
YOUTUBE_API_KEY=YOUR_KEY MCP_TRANSPORT=http PORT=3000 \
npx --yes xiaozhi-youtube-mcp
MCP client configuration using npx:
{
"mcpServers": {
"youtube": {
"command": "npx",
"args": ["--yes", "xiaozhi-youtube-mcp"],
"env": {
"YOUTUBE_API_KEY": "YOUR_KEY",
"YOUTUBE_REGION_CODE": "VN",
"YOUTUBE_RELEVANCE_LANGUAGE": "vi"
}
}
}
}
You can also run a GitHub repository before publishing to npm:
YOUTUBE_API_KEY=YOUR_KEY npx --yes github:YOUR_GITHUB_USER/xiaozhi-youtube-mcp
For repeatable production deployments, pin a package version rather than always using the latest version:
npx --yes xiaozhi-youtube-mcp@1.0.0
3. Host for Xiaozhi
cp .env.example .env
# Set YOUTUBE_API_KEY and MCP_TRANSPORT=http
npm install
npm run build
npm run start:http
Endpoints:
- MCP:
http://YOUR_SERVER:3000/mcp - Health:
http://YOUR_SERVER:3000/health
For public use, put the service behind HTTPS using Nginx, Caddy, Cloudflare Tunnel, or another trusted reverse proxy. Configure the resulting HTTPS MCP URL in the server-side MCP section of your Xiaozhi backend/control panel. The exact UI varies by the Xiaozhi server distribution.
Docker
cp .env.example .env
# Edit .env
docker compose up -d --build
curl http://localhost:3000/health
Voice behavior
A user says:
Play Numb by Linkin Park
The model should call:
{
"name": "youtube_play_song",
"arguments": {
"query": "Numb Linkin Park",
"officialOnly": true
}
}
The structured response contains a playback.url. A Xiaozhi integration that can open YouTube should hand that URL to its player. Otherwise, the assistant can read out or display the selected title and URL.
Configuration
| Variable | Default | Description |
|---|---|---|
YOUTUBE_API_KEY |
required | Google API key |
MCP_TRANSPORT |
stdio |
stdio or http |
HOST |
0.0.0.0 |
HTTP bind host |
PORT |
3000 |
HTTP port |
MCP_PATH |
/mcp |
MCP HTTP route |
YOUTUBE_REGION_CODE |
VN |
ISO two-letter region |
YOUTUBE_RELEVANCE_LANGUAGE |
vi |
Search relevance language |
YOUTUBE_SAFE_SEARCH |
moderate |
none, moderate, or strict |
YOUTUBE_DEFAULT_MAX_RESULTS |
5 |
Default result count, maximum 10 |
YOUTUBE_CACHE_TTL_SECONDS |
300 |
In-memory API response cache |
Verify
npm run check
Security and production notes
- Keep the API key server-side and out of source control.
- Apply API restrictions and quota alerts in Google Cloud.
- Use HTTPS and network access controls for HTTP deployment.
- Add reverse-proxy authentication if the endpoint is publicly reachable.
- Cache searches to reduce API usage.
- The server filters searches to YouTube video category 10 (Music), requests embeddable videos, and enables configurable SafeSearch.
Publish to GitHub and npm
git init
git add .
git commit -m "Initial Xiaozhi YouTube MCP"
git branch -M main
git remote add origin git@github.com:YOUR_GITHUB_USER/xiaozhi-youtube-mcp.git
git push -u origin main
npm login
npm publish
The npm package name must be available. If xiaozhi-youtube-mcp is already owned by someone else, use a scoped name such as @YOUR_GITHUB_USER/xiaozhi-youtube-mcp, update package.json, and run it with:
npx --yes @YOUR_GITHUB_USER/xiaozhi-youtube-mcp
Automated npm publishing
The included GitHub Actions workflow publishes when you create a GitHub Release. Add an npm automation token as the repository secret NPM_TOKEN, then create a release whose tag matches the version, for example v1.0.0.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.