# yg3-mcp

> yg3-mcp — yg3-ai-yg3-mcp. Use this tool when you need to access public integration documentation for YG3 MCP, a resource that solves problems related to configuration and setup by providing essential information and guidelines. It takes in queries and topics related to YG3 MCP integration as inputs and outputs relevant documentation and instructions. Utilize it in contexts where setup, configuration, or troubleshooting of YG3 MCP is required, leveraging its git capabilities for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/yg3-ai-yg3-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yg3-ai-yg3-mcp

## Description

Public integration docs for YG3 MCP

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/YG3-ai/yg3-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": "yg3-ai-yg3-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yg3-ai-yg3-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yg3-ai-yg3-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