MCP CheatEngine Toolkit - A Python-based toolkit for communicating with CheatEngine through MCP interface
What is Lyoneos mcp cheatengine Cto
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.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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