# ytmcp

> ytmcp — mrsknetwork-ytmcp. Use this tool when you need to interact with YouTube content, such as retrieving videos or channel information, to solve problems like media research or content curation. It takes in queries or commands as input and outputs relevant YouTube data, allowing AI agents to access and utilize YouTube content. Ideal for use cases where YouTube data is required, such as video analysis or social media monitoring.

Canonical page: https://skillsregistry.net/skills/mrsknetwork-ytmcp  
JSON: https://api.skillsregistry.net/v1/skills/mrsknetwork-ytmcp

## Description

This YouTube MCP allow your ai agents to interact and retrieve YouTube contents.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/mrsknetwork/ytmcp)

## 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": "mrsknetwork-ytmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrsknetwork-ytmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrsknetwork-ytmcp/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