# Cheat Engine

> Use this tool when you need to manipulate and analyze game memory in real-time, solving problems such as game hacking, debugging, and memory editing. It provides inputs through a TCP bridge and Lua scripting, and outputs live memory access and manipulation capabilities. Use Cheat Engine in contexts where you require low-level system interaction, such as game development, reverse engineering, or software testing.

Canonical page: https://skillsregistry.net/skills/tonytranrp-cheat-engine  
JSON: https://api.skillsregistry.net/v1/skills/tonytranrp-cheat-engine

## Description

Windows-first MCP server and Cheat Engine plugin pair providing live access to Cheat Engine's analysis capabilities. Features a hot-reloadable C++ plugin architecture with a stable loader and swappable core DLL, connected through a TCP bridge to a Python MCP backend. Supports process attachment, memory read/write, pointer chain resolution, AOB scanning, Lua scripting, Auto Assembler, debugger breakpoints, and cheat table record management.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tonytranrp-cheat-engine)
- **Repository:** <https://github.com/tonytranrp/cheat-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": "tonytranrp-cheat-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tonytranrp-cheat-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tonytranrp-cheat-engine/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