Get rich embed data for a YouTube video by ID via noembed. Returns title, author_name, author_url, canonical url, thumbnail_url, and a ready-to-use html iframe embed snippet
YouTube: Keyless public video, playlist, and embed metadata via YouTube oEmbed and noembed
Video, playlist, and embed metadata via YouTube oEmbed. No key needed.
Unlimited calls, no rate limits, custom domain.
claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandboxNew here? Start with these zero-config tools:
| Name | Required | Description |
|---|---|---|
| video_id | yes | 11-character YouTube video ID |
{title, author_name, author_url, url, thumbnail_url, html}curl -X POST https://datafaucet.dev/api/sandbox \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_video_embed","arguments":{"video_id":"dQw4w9WgXcQ"}}}'import requests
response = requests.post(
"https://datafaucet.dev/api/sandbox",
json={
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "get_video_embed",
"arguments": {
"video_id": "dQw4w9WgXcQ"
}
}
}
)
print(response.json())const response = await fetch("https://datafaucet.dev/api/sandbox", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
jsonrpc: "2.0",
id: 1,
method: "tools/call",
params: {
name: "get_video_embed",
arguments: {
"video_id": "dQw4w9WgXcQ"
},
},
}),
});
const data = await response.json();
console.log(data.result.content[0].text);claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandbox
All 230 sandbox tools become available instantly. No API keys needed.
Why use MCP instead of calling the API directly?
Raw API
Auth, parsing, error handling, retries, types. ~2 hours per endpoint.
Via MCP
One config line. AI agent calls get_video_embed with zero integration code.
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