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Read, write and scan process memory, Cheat Engine style, on Windows, Linux and macOS.
About
Read, write and scan process memory, Cheat Engine style, on Windows, Linux and macOS.
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
4 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-jeanextreme002-pymemoryeditor": {
"args": [
"pymemoryeditor"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
PyMemoryEditor
A pure-Python library (built on ctypes) that lets you inspect, modify and search the memory of any running process in a few lines of Python — Cheat Engine workflows on Windows, Linux and macOS!
Install
pip install PyMemoryEditor
To also install the bundled GUI app (a Cheat Engine-style scanner), use the app extra:
pip install "PyMemoryEditor[app]"
pymemoryeditor
For faster scans on large processes, add the speed extra. It pulls in NumPy
and automatically vectorizes the numeric scan comparison loop — ~10–30× faster on
selective scans:
pip install "PyMemoryEditor[speed]"
To let an AI assistant drive the library over the Model Context Protocol, use
the mcp extra (see below):
pip install "PyMemoryEditor[mcp]"
📖 Full guide at Read the Docs.
See it in action
from PyMemoryEditor import OpenProcess
with OpenProcess(name="game.exe") as process:
# Scan the whole process for every address holding the value 100.
for address in process.search_by_value(int, value=100):
print(f"Found at 0x{address:X}")
# Read the current value, then write a new one back.
current = process.read_int(address)
process.write_int(address, current + 500)
That's it — read, write or scan another process in three lines, the same way on every platform.
Let an AI assistant do it (MCP)
PyMemoryEditor ships a Model Context Protocol server, so an AI assistant can run the whole loop itself:
"Find the health value in my game. It's 100 right now."
It scans, asks you to take damage, refines the matches, and hands you the address.
pip install "PyMemoryEditor[mcp]"
claude mcp add pymemoryeditor -- pymemoryeditor-mcp
Or in any client that reads mcpServers JSON (Claude Desktop, editors, …):
{
"mcpServers": {
"pymemoryeditor": {
"command": "pymemoryeditor-mcp",
"args": []
}
}
}
Fourteen tools cover the full workflow, with scan results kept server-side behind a handle, so a 40 000-hit first scan costs a few tokens instead of your whole context.
Read the MCP guide to learn more.
📖 Documentation
Full documentation lives at pymemoryeditor.readthedocs.io — installation, the Cheat Engine workflow, every method and parameter, the GUI app guide, platform notes and troubleshooting.
A quick map of where to go:
What can I build with this?
- 🎮 Game modding & speedrunning tools — the classic Cheat Engine use case.
- 🔬 Debugging & introspection — inspect live state without attaching a debugger.
- 📊 Observability tooling — sample variables in a running process for telemetry.
- 🔐 Security & reverse-engineering research — on systems you own or are authorized to test.
- 🎓 Learning — the bundled app is a great teaching tool for how memory scanning works.
[!NOTE] Responsible use. PyMemoryEditor talks to other processes through OS-level APIs. Only point it at processes you own or have explicit permission to inspect.
🤝 Contributing
Pull requests, bug reports and feature ideas are very welcome. Read
CONTRIBUTING.md for the development setup, test layout and
the small set of platform-specific quirks to be aware of.
If PyMemoryEditor helped your project, please ⭐ the repo — it's the easiest way to support the work and to help others discover the library.
License
Released under the MIT License — free for personal and commercial use.
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