Scan agentic codebases for exposed tools MCP usage and mapped security findings with Agentic Radar

Generate a reviewable security report for a supported agent workflow before deployment by scanning its code, tools, MCP usage, and known vulnerability surface.

Prerequisites

Python with pip, Agentic Radar CLI, a supported agent framework codebase such as LangGraph, CrewAI, n8n, OpenAI Agents, or AutoGen, local shell access

Installation

Use the upstream install or setup path that matches your environment:

• pip install agentic-radar
• pip install "agentic-radar[crewai]"
• pip install "agentic-radar[openai-agents]"

Requirements and caveats from upstream:

• <li><a href="#prerequisites">Prerequisites</a></li>
• There are none! Just make sure you have Python (pip) installed on your machine.
• Some features require extra installations, depending on the targeted agentic framework. See more below.

Basic usage or getting-started notes:

• <a href="#getting-started-">Getting Started</a>

• <li><a href="#usage">Usage</a></li>

• View Full Report Example Here

• Source: https://github.com/splx-ai/agentic-radar

• Extracted from upstream docs: https://raw.githubusercontent.com/splx-ai/agentic-radar/HEAD/README.md

Documentation

• https://github.com/splx-ai/agentic-radar

Source

• Agent Skill Exchange