Kali MCP Server
Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.
README
Kali MCP Server
A Model Context Protocol (MCP) server that provides command execution capabilities in a containerized Kali Linux environment for semi-automated penetration testing and security research capabilities.
Demo
https://github.com/user-attachments/assets/demo.mp4
Watch the Kali MCP Server in action
Disclaimer
This tool is provided for educational and authorized security testing purposes only. Use at your own risk. The authors are not responsible for any misuse or damage caused by this software. Always ensure you have proper authorization before conducting security assessments.
Features
- Containerized Command Execution: Run Kali Linux security tools in a containerized environment
- Background Job Management: Long-running commands (>60s) automatically run as background jobs
- Interactsh Integration: Out-of-band interaction detection for blind vulnerabilities
- Service API Management: Centralized configuration for reconnaissance APIs (GitHub, Shodan, etc.)
- Workspace Management: Organized directory structure for pentest artifacts
Requirements
- Docker & Docker Compose
- MCP-compatible client (Claude Code, Gemini CLI, VS Code with Copilot, etc.)
Quick Start
-
Start the container:
docker compose up --build -d -
Verify it's running:
docker ps | grep kali-mcp-server -
Configure your MCP client:
⚠️ IMPORTANT: Disable any built-in terminal or command execution tools in your MCP client to prevent commands from being unintentionally executed on your host system instead of the Kali container. All security tools should run exclusively within the containerized environment for safety and isolation.
Claude Desktop:
claude mcp add --transport stdio kali-mcp-server "docker exec -i kali-mcp-server python3 /app/kali_server.py"
Gemini CLI:
gemini mcp add kali-mcp-server "docker exec -i kali-mcp-server python3 /app/kali_server.py"
VS Code (Copilot):
Create or edit .vscode/mcp.json in your workspace:
{
"servers": {
"kali-mcp-server": {
"type": "stdio",
"command": "docker",
"args": [
"exec",
"-i",
"kali-mcp-server",
"python3",
"/app/kali_server.py"
]
}
}
}
Others
{
"mcpServers": {
"kali-mcp-server": {
"type": "stdio",
"command": "docker",
"args": [
"exec",
"-i",
"kali-mcp-server",
"python3",
"/app/kali_server.py"
],
"env": {}
}
}
}
After configuration: Restart your MCP client to load the Kali MCP server.
Available Tools
Core MCP Tools
run_kali_command- Execute commands in Kali environmentget_job_status- Check background job statuslist_background_jobs- List all running jobscancel_job- Cancel a running jobget_workspace_info- Get workspace configuration
Interactsh Tools
start_interactsh- Start out-of-band interaction monitoringget_interactsh_status- Check interactsh worker statuspoll_interactsh- Retrieve recorded interactionsstop_interactsh- Stop interactsh worker
Service Management
get_service_tokens- Get configured API service tokens
Pre-installed Security Tools
- Network Scanning:
nmap,masscan - Web Testing:
dirb,ffuf,whatweb,nikto - DNS/Domain:
dig,whois,dnsrecon - Utilities:
curl,wget,jq,exiftool - Wordlists:
Seclists
Configuration
Edit config.toml to configure:
- Workspace directory structure
- Interactsh settings
- API service tokens (GitHub, Shodan, VirusTotal, etc.)
Security Notes
- Container runs with necessary privileges for security tools
- Network tools require elevated capabilities (NET_ADMIN, NET_RAW)
- All command execution is contained within the Docker environment
- API tokens should be configured securely in production
License
This project is an independent open-source contribution and is not affiliated with, endorsed by, or associated with OffSec or Kali Linux. Kali Linux is a trademark of Offensive Security.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.