Awesome AI Agents › Runtime Analysis Tools
Cheat Engine MCP Bridge connects an AI agent client to Cheat Engine through the Model Context Protocol so a model can inspect and manipulate the memory of a running Windows process. The project ships a Lua script loaded inside Cheat Engine and a Python MCP server that talks to it; the two communicate over a Windows named pipe, with a worker thread handling blocking I/O and the main thread calling the Cheat Engine API. An optional TCP relay lets the MCP server run outside the Windows host, for example in WSL, a container, a virtual machine or a remote Linux box, while Cheat Engine and the Lua bridge stay on Windows. Setup is a pip install of the mcp and pywin32 packages, after which the server is registered in an MCP client configuration such as a JSON servers block or a Codex TOML entry, and a ping tool reports version and connectivity. About 180 tools are exposed. Memory tools read raw bytes, integers, floats, strings and pointers, resolve multi-level pointer chains such as base plus offsets, and run value and array-of-byte scans. Analysis tools disassemble code, analyze functions, dissect structures to detect field types and values, resolve C++ class names through RTTI, and find code and call references. Debugging tools set hardware and data breakpoints and can use the DBVM hypervisor mode. The stated use cases are creating game trainers and mods, building bots, security auditing and speeding up reverse engineering, replacing manual hex inspection with natural language questions such as locating the opcode that writes a health value or generating a byte signature stable across game updates. It targets reverse engineers and security researchers who already use Cheat Engine.
https://github.com/miscusi-peek/cheatengine-mcp-bridge
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