# EasyAR MCP Server

> Use this tool when you need to streamline EasyAR Unity workflows with AI-powered coding assistance. It solves problems such as manual project inspection, sample preparation, and C# script generation by providing automated solutions through AI coding tools like Codex and Claude. The tool takes in Unity project details as input and outputs generated C# scripts and prepared samples, ideal for use cases where efficient augmented reality development is crucial.

Canonical page: https://skillsregistry.net/skills/terri1982-mcp-easyar  
JSON: https://api.skillsregistry.net/v1/skills/terri1982-mcp-easyar

## Description

Enables AI coding tools like Codex and Claude to assist with EasyAR Unity workflows, including project inspection, sample preparation, and C# script generation.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rv2erhbcz4)
- **Repository:** <https://github.com/terri1982/mcp-easyar>

## 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": "terri1982-mcp-easyar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/terri1982-mcp-easyar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/terri1982-mcp-easyar/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