# OMORI Toolkit

> Use this tool when you need to automate gameplay or test AI-driven interactions in OMORI, as it enables proxying of MCP tool calls to an in-game bridge, allowing agents to interact with game state and execute actions. It takes in commands and outputs automated gameplay interactions, requiring OMORI to be running locally with an active OneLoader bridge module. Ideal for use cases involving automated testing, AI training, or gameplay automation in OMORI.

Canonical page: https://skillsregistry.net/skills/waromiv-omori  
JSON: https://api.skillsregistry.net/v1/skills/waromiv-omori

## Description

Enables AI agents to drive and test gameplay in OMORI by proxying MCP tool calls to an in-game bridge running on localhost. Built with FastMCP and Python, the server forwards commands to the OMORI bridge at port 43111, allowing agents to interact with game state, execute actions, and automate gameplay. Requires OMORI to be running locally with an active OneLoader bridge module.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/waromiv-omori)
- **Repository:** <https://github.com/waromiv/omori-mcp-toolkit>

## 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": "waromiv-omori"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/waromiv-omori` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/waromiv-omori/pull`

---
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
