# mcp-agent-materials

> mcp-agent-materials — 2shin0-mcp-agent-materials. Use this tool when you need to analyze YouTube data using the Media Content Partner (MCP) protocol, and require materials for a data analysis agent. It provides resources for building a data analysis workflow, solving problems related to YouTube data extraction and analysis. The tool accepts git inputs and outputs materials for agent development, ideal for use cases involving YouTube data integration and analysis.

Canonical page: https://skillsregistry.net/skills/2shin0-mcp-agent-materials  
JSON: https://api.skillsregistry.net/v1/skills/2shin0-mcp-agent-materials

## Description

📚 Materials for a data analysis agent using YouTube MCP

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/2shin0/mcp-agent-materials)

## 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": "2shin0-mcp-agent-materials"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2shin0-mcp-agent-materials` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2shin0-mcp-agent-materials/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