Wh0am123/MCP-Kali-Server
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Kali MCP Server is a lightweight API bridge that connects MCP Clients to the API server, allowing execution of commands on a Linux terminal.
MCP Kali Server
MCP Kali Server is a lightweight API bridge that connects MCP clients (e.g: Claude Desktop or 5ire) to the API server which allows executing commands on a Linux terminal.
This MCP is able to run terminal commands as well as interacting with web applications using:
Dirbenum4linuxgobusterHydraJohn the RipperMetasploit-FrameworkNiktoNmapsqlmapWPScan- As well as being able to execute raw commands.
As a result, this is able to perform AI-assisted penetration testing and solving CTF challenges in real time.
Articles Using This Tool
👉 How MCP is Revolutionizing Offensive Security
🔍 Use Case
The goal is to enable AI-driven offensive security testing by:
- Letting the MCP interact with AI endpoints like OpenAI, Claude, DeepSeek, Ollama or any other models.
- Exposing an API to execute commands on a Kali machine.
- Using AI to suggest and run terminal commands to solve CTF challenges or automate recon/exploitation tasks.
- Allowing MCP apps to send custom requests (e.g.
curl,nmap,ffuf, etc.) and receive structured outputs.
Here are some example (using Google's AI gemini 2.0 flash):
Example solving my web CTF challenge in RamadanCTF
https://github.com/user-attachments/assets/dc93b71d-9a4a-4ad5-8079-2c26c04e5397
Trying to solve machine "code" from HTB
https://github.com/user-attachments/assets/3ec06ff8-0bdf-4ad5-be71-2ec490b7ee27
🚀 Features
- 🧠 AI Endpoint Integration: Connect your Kali to any MCP of your liking such as Claude Desktop or 5ier.
- 🖥️ Command Execution API: Exposes a controlled API to execute terminal commands on your Kali Linux machine.
- 🕸️ Web Challenge Support: AI can interact with websites and APIs, capture flags via
curland any other tool AI the needs. - 🔐 Designed for Offensive Security Professionals: Ideal for red teamers, bug bounty hunters, or CTF players automating common tasks.
🛠️ Installation and Running
On your Kali Machine
sudo apt install mcp-kali-server
kali-server
Otherwise for bleeding edge:
git clone https://github.com/Wh0am123/MCP-Kali-Server.git
cd MCP-Kali-Server
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python3 kali_server.py
Command Line Options:
--ip <address>: Specify the IP address to bind the server to (default:127.0.0.1for localhost only)- Use
127.0.0.1for local connections only (secure, recommended) - Use
0.0.0.0to allow connections from any network interface (very dangerous; use with caution) - Use a specific IP address to bind to a particular network interface
- Use
--port <port>: Specify the port number (default:5000)--debug: Enable debug mode for verbose logging
Examples:
# Run on localhost only (secure, default)
python3 kali_server.py
# Run on all interfaces (less secure, useful for remote access)
python3 kali_server.py --ip 0.0.0.0
# Run on a specific IP and custom port
python3 kali_server.py --ip 192.168.1.100 --port 8080
# Run with debug mode
python3 kali_server.py --debug
On your MCP client machine
This can be local (on the same Kali machine) or remote (another Linux machine, Windows or macOS).
If you're running the client and server on the same Kali machine (aka local), run either:
## OS package
mcp-server --server http://127.0.0.1:5000
# ...OR...
## Bleeding edge
./mcp_server.py --server http://127.0.0.1:5000
If separate machines (aka remote), create an SSH tunnel to your MCP server, then launch the client:
## Terminal 1 - Replace `LINUX_IP` with Kali's IP
ssh -L 5000:localhost:5000 user@LINUX_IP
## Terminal 2
git clone https://github.com/Wh0am123/MCP-Kali-Server.git
cd MCP-Kali-Server
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
./mcp_server.py --server http://127.0.0.1:5000
If you're openly hosting the MCP Kali server on your network (kali_server.py --IP...), you don't need the SSH tunnel (but we do recommend it!)
NOTE: ⚠️(THIS IS STRONGLY DISCOURAGED. WE RECOMMEND SSH)⚠️.
./mcp_server.py --server http://LINUX_IP:5000
Configuration for Claude Desktop:
Edit:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Configuration for 5ire Desktop Application:
- Simply add an MCP with the command
python3 /absolute/path/to/mcp_server.py http://LINUX_IP:5000and it will automatically generate the needed configuration files.
🔮 Other Possibilities
There are more possibilities than described since the AI model can now execute commands on the terminal. Here are some examples:
-
Memory forensics using Volatility
- Automating memory analysis tasks such as process enumeration, DLL injection checks, and registry extraction from memory dumps.
-
Disk forensics with SleuthKit
- Automating analysis from disk images, timeline generation, file carving, and hash comparisons.
⚠️ Disclaimer:
This project is intended solely for educational and ethical testing purposes. Any misuse of the information or tools provided — including unauthorized access, exploitation, or malicious activity — is strictly prohibited.
The author assumes no responsibility for misuse.
