About cutterMCP
cutterMCP connects LLMs to Cutter for application reverse engineering. Its Cutter plugin exposes binary analysis and editing operations to MCP clients.
Key features
- 01Decompile and analyze binaries
- 02Rename methods and data
- 03List methods, imports, and exports
Use cases
- 01Inspect a binary in Cutter
- 02Rename methods or data during analysis
- 03Review a binary's imports and exports
MCP support
The Cutter plugin exposes core Cutter functionality as tools for MCP clients, enabling LLMs to perform reverse-engineering tasks.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
cutterMCP
cutterMCP is an Model Context Protocol server for allowing LLMs to autonomously reverse engineer applications. It exposes numerous tools from core Cutter functionality to MCP clients.
Features
MCP Server + Cutter Plugin
- Decompile and analyze binaries in Cutter
- Automatically rename methods and data
- List methods, imports, and exports
Installation
Prerequisites
Cutter
First, download the latest release from this repository. This contains the Cutter plugin and Python MCP client. Then, you can directly import the plugin into Cutter.
- Run Cutter
- Go to Edit -> Preferences -> Plugins
- Find the plugin directory location
- Copy
CutterMCPPlugin.pyfrom the downloaded release and paste it inside the python folder - Restart Cutter
- If successful, you’ll see the plugin under Windows -> Plugins and a new widget in the bottom panel
MCP Clients
Theoretically, any MCP client should work with cutterMCP. one example is given below.
Example 1: Claude Desktop
To set up Claude Desktop as a Cutter MCP client, go to Claude -> Settings -> Developer -> Edit Config -> claude_desktop_config.json and add the following:
MacOS/Linux :
{
"mcpServers": {
"cutter": {
"command": "python",
"args": [
"/ABSOLUTE_PATH_TO/bridge_mcp_cutter.py"
]
}
}
}
Windows :
{
"mcpServers": {
"cutter": {
"command": "python",
"args": [
"C:\\ABSOLUTE_PATH_TO\\bridge_mcp_cutter.py"
]
}
}
}
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.