npx mcpbar@latest edit -c claude

MCP CheatEngine Cto

MCP CheatEngine unofficial is a Python-based toolkit that communicates with CheatEngine through the MCP interface, providing features such as reading memory and assembly code analysis.

Python and CE use the socket protocol for communication. Currently, the Python MCP only has a built-in read module, and the write module has not been implemented in the MCP client. Lua has also implemented writing and pointer scanning, but it's unstable.

If you're interested, please give it a star.

• The project is still in its early stages and there are issues and problems

CE Plugin Link

• Must Download
• Otherwise, MCP SERVER cannot function as expected
• CE Plugin Download

Features

• Automatically connect to CheatEngine and analyze application memory and assembly
• Provide AI interactive memory reading functionality
• Support getting and analyzing assembly code corresponding to memory addresses

Getting Started

• It is recommended to use the cursor in conjunction with this project to complete the usage

Install Dependencies

pip install -r requirements.txt

Run MCPService

python main.py

Tool Usage Instructions

For detailed information, please refer to the API documentation

1. Connection Tool (ce_connect)

Used to connect to CheatEngine and check the connection status.

ce_connect()

2. Memory Reading (memory_read)

Read data from a specified memory address.

memory_read("0x7065F60", "int32")

memory_read("0x7065F60", "int32", {
    "assembly": True,
    "assemblySize": 10,
    "rawBytes": True
})

3. Testing Tool (test_echo)

A testing tool that receives input of any type and outputs it unchanged.

# Example
test_echo("Test String")
test_echo({"name": "Test", "value": 100})

UpDate

2025.05.05

• I recently discovered that Python is able to read memory directly, and this project may be deprecated and discontinued at any time due to the complexity of the code. Future code will probably just leave reading the memory to Python alone.This is because I didn't think about whether Python had a module that could do it at the beginning of the code design process.