# DeepSRT

> Use this tool when you need to quickly summarize YouTube videos in multiple formats and languages. DeepSRT solves the problem of manually sifting through lengthy videos to extract key information, providing narrative or bullet-point summaries through its API integration. It is ideal for applications requiring fast and efficient access to video content summaries, with inputs of YouTube video URLs and outputs of concise, formatted summaries.

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

## Description

This MCP server provides YouTube video summarization functionality through integration with DeepSRT's API. It offers tools to generate summaries in narrative or bullet-point formats, with multi-language support. The server leverages content caching and CDN edge delivery for efficient summary retrieval, making it suitable for applications requiring quick access to video content summaries.

## Trust

- **Trust score (0–1):** 1.00
- **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/deepsrt-youtube-summarizer)
- **Repository:** <https://github.com/deepsrt/deepsrt-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": "deepsrt-youtube-summarizer"
    }
  }
}
```

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