# Cheat Engine Bridge

> Use this tool when you need to integrate Cheat Engine's memory analysis capabilities with AI agents for reverse engineering, game analysis, and security research. It connects through named pipe communication, enabling inputs such as process IDs and memory addresses, and outputs like disassembly code and pointer chain analysis results. Ideal for use cases requiring dynamic memory scanning, hardware breakpoint monitoring, and hypervisor-level DBVM tracing.

Canonical page: https://skillsregistry.net/skills/miscusi-peek-cheatengine-bridge  
JSON: https://api.skillsregistry.net/v1/skills/miscusi-peek-cheatengine-bridge

## Description

Connects Cheat Engine's memory analysis capabilities to AI agents through named pipe communication. Enables dynamic memory scanning, pointer chain analysis, hardware breakpoint monitoring, disassembly, and hypervisor-level DBVM tracing for reverse engineering, game analysis, and security research workflows.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/miscusi-peek-cheatengine-bridge)
- **Repository:** <https://github.com/miscusi-peek/cheatengine-mcp-bridge>

## 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": "miscusi-peek-cheatengine-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miscusi-peek-cheatengine-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miscusi-peek-cheatengine-bridge/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