# Unity API Communicator MCP Server

> Use this tool when you need to control and automate Unity Editor tasks from AI agents, solving problems such as streamlining game development workflows and integrating AI-driven design tools. It provides an interface for 200+ MCP tools, accepting inputs from various MCP clients and outputting direct modifications to Unity projects. Ideal for use cases where automation and AI-driven design are crucial, such as rapid prototyping, game development, and virtual environment creation.

Canonical page: https://skillsregistry.net/skills/samdreamsmaker-unity-api-communicator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/samdreamsmaker-unity-api-communicator-mcp

## Description

Control Unity Editor from AI agents. 200+ MCP tools for GameObjects, Scenes, Assets, Materials, Prefabs, Terrain, Physics, Lighting, and more. Works with Claude, Cursor, Windsurf, VS Code Copilot — any MCP client. Zero config: just npx and go.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ta2al44fxc)
- **Repository:** <https://github.com/SamDreamsMaker/unity-api-communicator-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": "samdreamsmaker-unity-api-communicator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samdreamsmaker-unity-api-communicator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samdreamsmaker-unity-api-communicator-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