# YouTube Transcript Remote MCP Server

> YouTube Transcript Remote MCP Server — neartheengineer-youtube-transcript-mcp. Use this tool when you need to automatically extract transcripts from YouTube videos in multiple languages, with a scalable and reliable cloud-hosted solution. It solves the problem of manual transcript extraction, providing a zero-setup interface that inputs YouTube video URLs and outputs accurate transcripts. Ideal for use cases requiring efficient and robust video content analysis, such as content moderation, subtitling, or data mining.

Canonical page: https://skillsregistry.net/skills/neartheengineer-youtube-transcript-mcp  
JSON: https://api.skillsregistry.net/v1/skills/neartheengineer-youtube-transcript-mcp

## Description

A remote MCP server that enables Claude AI to extract YouTube video transcripts through a zero-setup, cloud-hosted solution with multi-language support, smart caching via Cloudflare KV, and robust error handling.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l9q0e26i97)
- **Repository:** <https://github.com/Neartheengineer/youtube-transcript-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": "neartheengineer-youtube-transcript-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neartheengineer-youtube-transcript-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neartheengineer-youtube-transcript-mcp/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