📄️ How-To: Artifact Workflows in FuzzForge AI
Artifacts are the heart of FuzzForge AI’s collaborative workflows. They let you generate, share, analyze, and improve files—code, configs, reports, and more—across agents and projects. This guide shows you, step by step, how to use artifacts for practical, productive automation.
📄️ How to Create a Custom Module in FuzzForge
This guide will walk you through the process of developing a custom security analysis module for FuzzForge. Modules are the building blocks of FuzzForge workflows, enabling you to add new analysis capabilities or extend existing ones.
📄️ How to Create a Custom Workflow in FuzzForge
This guide will walk you through the process of creating a custom security analysis workflow in FuzzForge. Workflows orchestrate modules, define the analysis pipeline, and enable you to automate complex security checks for your codebase or application.
📄️ How to Configure Docker for FuzzForge
Getting Docker set up correctly is essential for running FuzzForge workflows. This guide will walk you through the process, explain why each step matters, and help you troubleshoot common issues—so you can get up and running with confidence.
📄️ How-To: Integrate and Use MCP (Model Context Protocol) with FuzzForge
FuzzForge supports the Model Context Protocol (MCP), enabling LLM clients and AI assistants to interact directly with the security testing platform. This guide walks you through setting up, connecting, and using MCP with FuzzForge for automated security scans, results analysis, and intelligent recommendations.
📄️ Troubleshooting FuzzForge
Running into issues with FuzzForge? This guide will help you diagnose and resolve the most common problems—whether you’re just getting started or running complex workflows. Each section is focused on a specific area, with actionable steps and explanations.