# Apify YouTube Transcripts MCP Server

> Apify YouTube Transcripts MCP Server — johnisanerd-apify-youtube-transcripts-api. Use this tool when you need to extract and structure YouTube video transcripts in JSON format, solving problems like video content analysis, captioning, and indexing. It takes single or batch YouTube video URLs as input and outputs timestamped captions and plain text through the Apify API. Ideal for use cases requiring automated video transcript processing, such as data mining, content moderation, or accessibility enhancements.

Canonical page: https://skillsregistry.net/skills/johnisanerd-apify-youtube-transcripts-api  
JSON: https://api.skillsregistry.net/v1/skills/johnisanerd-apify-youtube-transcripts-api

## Description

Provides YouTube video transcripts as structured JSON, including timestamped captions and plain text, through the Apify YouTube Transcripts API. Supports single or batch video URLs across multiple formats.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zxg8jluiqv)
- **Repository:** <https://github.com/johnisanerd/Apify-Youtube-Transcripts-API>

## 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": "johnisanerd-apify-youtube-transcripts-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/johnisanerd-apify-youtube-transcripts-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/johnisanerd-apify-youtube-transcripts-api/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