# trace.moe-mcp

> trace.moe-mcp — soruly-trace-moe-mcp. Use this tool when you need to identify anime scenes or search for specific moments in anime videos. The trace.moe-mcp server provides a Model Context Protocol (MCP) interface to input anime video frames or scenes and outputs corresponding anime titles, timestamps, and other relevant metadata. It solves problems related to anime scene identification and discovery, ideal for use cases such as content moderation, fan engagement, or media research.

Canonical page: https://skillsregistry.net/skills/soruly-trace-moe-mcp  
JSON: https://api.skillsregistry.net/v1/skills/soruly-trace-moe-mcp

## Description

Model Context Protocol (MCP) server for trace.moe anime scene search

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/soruly/trace.moe-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": "soruly-trace-moe-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/soruly-trace-moe-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/soruly-trace-moe-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