# re-engine-mcp

> re-engine-mcp — praydog-re-engine-mcp. Use this tool when you need to integrate AI agents with RE Engine games, providing live access to game data and functionality via REFramework. It solves problems related to game interaction, automation, and analysis, allowing for seamless communication between AI agents and running games. The tool accepts game data as input and outputs controlled game interactions, ideal for use cases such as game testing, AI training, and automation.

Canonical page: https://skillsregistry.net/skills/praydog-re-engine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/praydog-re-engine-mcp

## Description

MCP server that gives AI agents live access to any running RE Engine game via REFramework

## Trust

- **Trust score (0–1):** 0.89
- **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/praydog/re-engine-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": "praydog-re-engine-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/praydog-re-engine-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/praydog-re-engine-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