# miscusi-peek/cheatengine-mcp-bridge

Connect Cursor, Copilot & Claude AI directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural language.

Repository: https://github.com/miscusi-peek/cheatengine-mcp-bridge
Canonical: https://ross.abutalabs.com/products/cheatengine-mcp-bridge
Language: Lua
License: MIT
License Family: permissive
Topics: ai-agents, cheat-engine, debugging, game-research, mcp, memory-analysis, reverse-engineering, ai-tools, automation, ctf-tools, debugger, game-security, mcp-server, modding-tools, pentesting, python, lua, mcp-client, vibehacking, vibecheating
Last push: 2026-08-14T08:14:14+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 18
- inputs: {"age_days": 252, "days_push": 19, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1313, forks 201 (observed 2026-08-28T04:04:20.320724+00:00)

## What it is
A bridge that connects AI coding assistants (Claude, Cursor, Copilot) to Cheat Engine via the Model Context Protocol, letting agents read/write process memory, resolve pointer chains, analyze structures, and disassemble code through natural language. It consists of a Python MCP server communicating over a named pipe with a Lua script running inside Cheat Engine.

## Use cases
- automate reverse engineering of game memory with AI
- find pointer chains and AOB signatures via natural language
- create game trainers and mods with AI assistance
- analyze memory structures and identify C++ objects via RTTI
- speed up CTF memory analysis challenges
- audit game security and find packet decryption hooks

## When to choose
- you already use Cheat Engine and want AI-driven memory analysis
- you want to automate pointer scanning, structure discovery, or disassembly via an MCP-capable AI client
- you build trainers, mods, or do game security research on Windows

## When to avoid
- you need memory analysis on Linux or macOS without Cheat Engine
- you want a standalone RE tool without an AI agent client
- you need a production-grade debugger rather than an AI-assisted research bridge

## Facets
- artifact type: plugin
- maturity: active
- function: mcp, reverse-engineering, security, developer-tools, workflow-automation
- domain: reverse-engineering, security, gaming-tools, developer-tools
- platform: windows, python, lua, cli
- tags: cheat-engine, mcp-server, memory-analysis, pointer-scanning, game-modding, ai-agents, debugging, ctf-tools, vibehacking

## Member repositories
- miscusi-peek/cheatengine-mcp-bridge (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.320724+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:48:52.559334+00:00, confidence not recorded.
  - readme: https://github.com/miscusi-peek/cheatengine-mcp-bridge (fetched 2026-08-28T04:04:20.320724+00:00, sha 68f161af6835)
- Data as of 2026-08-30T08:39:29.467469+00:00.