# io.github.ludmila-omlopes/youtube-video-analyzer

> Use this tool when you need to analyze YouTube videos using Google Gemini, as it provides a standardized interface for video analysis, accepting video inputs and generating insightful outputs to solve problems related to video content evaluation and optimization. It is particularly useful for tasks such as content review, metadata extraction, and audience engagement analysis. By leveraging this tool, users can gain a deeper understanding of their YouTube video performance and make data-driven decisions.

Canonical page: https://skillsregistry.net/skills/io-github-ludmila-omlopes-youtube-video-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/io-github-ludmila-omlopes-youtube-video-analyzer

## Description

MCP stdio server for analyzing YouTube videos with Google Gemini

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.2.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ludmila-omlopes%2Fyoutube-video-analyzer)
- **Repository:** <https://github.com/ludmila-omlopes/youtube-video-analyzer-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": "io-github-ludmila-omlopes-youtube-video-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-ludmila-omlopes-youtube-video-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-ludmila-omlopes-youtube-video-analyzer/pull`

---
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