# unity-asset-reference-mcp

> unity-asset-reference-mcp — jvincew-uasset-reference-memory-mcp. Use this tool when you need to analyze and optimize Unity project assets, as it indexes assets into a SQLite reference graph and provides a query server for identifying dependencies, references, unused assets, and broken references. It solves problems related to asset management, such as reducing project size and fixing errors. The tool takes Unity project assets as input and outputs a queryable reference graph, making it ideal for use during project optimization and debugging phases.

Canonical page: https://skillsregistry.net/skills/jvincew-uasset-reference-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jvincew-uasset-reference-memory-mcp

## Description

Indexes Unity project assets into a SQLite reference graph and provides an MCP server for querying asset dependencies, references, unused assets, and broken references.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eqcrrz5gtw)
- **Repository:** <https://github.com/JVinceW/uasset-reference-memory-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": "jvincew-uasset-reference-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jvincew-uasset-reference-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jvincew-uasset-reference-memory-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