# YouTube Summarizer

> Use this tool when you need to analyze YouTube video content and generate concise summaries, solving problems such as research assistance, content moderation, and educational support. It takes video URLs or IDs as input and outputs summarized text, providing a clean interface for AI agents to interact with video data. Ideal for applications requiring automated content analysis, this tool streamlines video processing and enables efficient follow-up conversations about the content.

Canonical page: https://skillsregistry.net/skills/trilogy-group-youtube-summarizer  
JSON: https://api.skillsregistry.net/v1/skills/trilogy-group-youtube-summarizer

## Description

This MCP server, developed by an unknown author, integrates with a YouTube summarization API to provide AI-powered video analysis capabilities. Built with Python and leveraging the Flask framework, it offers tools for initiating video summarization, retrieving summaries, and engaging in follow-up conversations about the content. The implementation focuses on abstracting the underlying API complexities, providing a clean interface for AI agents to interact with video data. It's particularly useful for applications needing automated content analysis, enabling use cases such as research assistance, content moderation, or educational support without directly handling YouTube video processing.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/trilogy-group-youtube-summarizer)
- **Repository:** <https://github.com/trilogy-group/youtube-summarizer-mcp>

## 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": "trilogy-group-youtube-summarizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trilogy-group-youtube-summarizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trilogy-group-youtube-summarizer/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