# YouTube Data API

> Use this tool when you need to analyze YouTube videos, channels, and playlists, or discover new content, as it provides comprehensive metadata retrieval, engagement analysis, and transcript extraction capabilities. It solves problems related to content research, social media analysis, and educational content curation by offering advanced search, trending video discovery, and benchmarking against industry averages. With support for multiple input formats and robust error handling, it is ideal for building AI assistants that require programmatic access to YouTube's data ecosystem.

Canonical page: https://skillsregistry.net/skills/dannysubsense-youtube-data  
JSON: https://api.skillsregistry.net/v1/skills/dannysubsense-youtube-data

## Description

This MCP server provides AI assistants with direct access to YouTube's Data API v3 and transcript extraction capabilities, featuring 14 specialized tools for video analysis, channel management, playlist operations, and content discovery. Built with Python using FastMCP and httpx, it supports comprehensive video metadata retrieval, engagement analysis with calculated metrics like like rates and comment rates, trending video discovery by region, advanced search with multiple sorting options, and automatic transcript extraction using the youtube-transcript-api library. The implementation includes intelligent URL parsing for various YouTube formats, robust error handling with quota management, and engagement benchmarking against industry averages, making it valuable for content research workflows, social media analysis, educational content curation, and building AI assistants that need programmatic access to YouTube's full data ecosystem without manual platform navigation.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dannysubsense-youtube-data)
- **Repository:** <https://github.com/dannysubsense/youtube-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dannysubsense-youtube-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dannysubsense-youtube-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dannysubsense-youtube-data/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt