# YouTube Comments MCP Server

> Use this tool when you need to analyze YouTube video comments and replies, to solve problems such as sentiment analysis, comment summarization, and content moderation. It fetches comments through the YouTube Data API, sorting them by relevance or time, and returns structured JSON data for further processing. Ideal for tasks requiring comment data analysis, translation, or summarization, such as social media monitoring or content research.

Canonical page: https://skillsregistry.net/skills/878787ya-yt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/878787ya-yt-mcp

## Description

Enables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/de4vglhx31)
- **Repository:** <https://github.com/878787ya/yt_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": "878787ya-yt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/878787ya-yt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/878787ya-yt-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