ZAP-MCP
ZAP-MCP integrates OWASP ZAP with AI models through the Model Context Protocol to enable AI-driven security testing. It serves as a server exposing functions for security scans and analysis, offering features like real-time monitoring and automated report generation.
ZAP-MCP: Model Context Protocol for OWASP ZAP
A powerful integration between OWASP ZAP and AI models through the Model Context Protocol (MCP). This project enables AI-driven security testing by allowing AI models to directly interact with ZAP's scanning capabilities.
Overview
ZAP-MCP provides a bridge between AI models (like Claude) and OWASP ZAP, enabling automated security testing and analysis. It uses a client-server architecture where ZAP-MCP acts as the server, exposing standardized functions that can be called by AI models through the MCP protocol.
Features
- AI-Driven Security Testing: Enable AI models to perform security scans and analysis
- Real-time Scan Monitoring: Track scan progress and get instant alerts
- Automated Analysis: Generate security reports and recommendations
- Flexible Integration: Works with various AI models through the MCP protocol
- WebSocket Communication: Real-time updates and interactions
Prerequisites
- Python 3.8+
- OWASP ZAP running locally or remotely
- Claude Desktop App (or other MCP-compatible client)
Usage
- Start the MCP server.
- Configure your Claude desktop app.
- Start using ZAP-MCP for security scans, alerts, and reports.