This repository provides MCP (Model Context Protocol) servers specifically tailored for Kali Linux, designed to empower AI agents in reverse engineering and security testing. These servers enhance AI-driven cybersecurity processes through network analysis, traffic monitoring, and binary analysis capabilities.
To install the Kali MCPServers, follow these steps:
After downloading and extracting the server files, you can start using the MCP servers for various cybersecurity tasks. The servers provide several key functionalities:
To start an MCP server, navigate to the directory containing the extracted files and execute the appropriate command:
cd /path/to/extracted/files
./start_mcp_server.sh
The MCP servers can be configured for different use cases:
./start_mcp_server.sh --mode network_analysis --interface wlan0
./start_mcp_server.sh --mode target_sniffing --output /path/to/output
To connect your AI agent to the MCP server:
sudo apt update
sudo apt install -y [required-package]
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.