# ce-mcp

> Use this tool when you need to automate memory scanning, editing, and cheat table management tasks in Cheat Engine. It solves problems related to reverse engineering and game hacking by providing a programmable interface for AI agents to interact with Cheat Engine. With ce-mcp, AI agents can input commands and receive output data, enabling automated control and analysis of game memory.

Canonical page: https://skillsregistry.net/skills/imrx44-mcp  
JSON: https://api.skillsregistry.net/v1/skills/imrx44-mcp

## Description

Enables AI agents to programmatically control Cheat Engine for memory scanning, editing, cheat table management, and reverse engineering tasks.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jnqnuk2yjo)
- **Repository:** <https://github.com/IMRX44/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": "imrx44-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imrx44-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imrx44-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