Model Context Provider (MCP) for Penetration Testing
The MCP project aims to bridge AI with penetration testing by providing a framework that facilitates real-time interactions with various pentesting tools. It guides pentesters through established methodologies, covering every phase from reconnaissance to reporting. The project is currently in its alpha stage and welcomes contributions to enhance its ecosystem.
Key Features:
- Seamless Tool Integration: Acts as middleware between major pentesting tools, normalizing their outputs.
- Real-Time Context Aggregation: Collects and analyzes data from various tools to maintain a unified view during engagements.
- AI-Powered Insights: Utilizes large language models to interpret findings and suggest attack vectors.
- Secure Data Handling: Ensures strict security and compliance when handling sensitive data.
Getting Started:
- Clone the repository:
git clone https://github.com/allsmog/mcp-pentest.git - Build Docker containers:
docker-compose build - Start MCP services:
docker-compose up -d
This project is open to contributions for improving integration, documentation, UI, and more. See CONTRIBUTING.md for details.
