# YouTube Semantic Search

> Use this tool when you need to search and analyze YouTube video content using natural language interactions. It solves problems related to video discovery, transcript retrieval, and semantic search, allowing users to explore YouTube content in a more intuitive way. The tool takes in natural language queries as input and outputs relevant video results, transcripts, and analysis, making it ideal for use cases that require multilingual and multimedia content exploration.

Canonical page: https://skillsregistry.net/skills/youtube-semantic-search  
JSON: https://api.skillsregistry.net/v1/skills/youtube-semantic-search

## Description

YouTube MCP Server provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content using Google's generative AI embeddings. Built by FarhaParveen919, the server leverages LanceDB for vector storage and supports multilingual transcript retrieval, enabling users to explore and analyze YouTube content through natural language interactions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/youtube-semantic-search)
- **Repository:** <https://github.com/ia-programming/youtube-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": "youtube-semantic-search"
    }
  }
}
```

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