layout: default title: SecAI Radar Wiki permalink: /

SecAI Radar Documentation Wiki

Welcome to the SecAI Radar documentation wiki! SecAI Radar is a next-generation platform designed to autonomously scout, verify, and quantify trust for Model Context Protocol (MCP) servers and third-party AI Agents.

Table of Contents

1. Overview

• Home
• Agentic-First Design

2. Architecture & Components

• System Architecture
• Trust Scoring Methodology

3. Developer Guides

• Local Development & Deploy
• API Reference

What makes SecAI Radar unique?

Unlike traditional directories, this platform natively surfaces its state to AI tools. Our semantic llms.txt, specialized JSON-LD schemas, and dynamic ARIA mappings ensure that Copilots and standalone agents can directly query our rankings.

• Parallel Verification: MCP integrations and direct AI Agent connections are scouted, ingested, and evaluated uniformly.
• Continuous Monitoring: Verification happens via automated workers on a schedule.
• Trust-first: Integrations don't just get listed—they get scored on a 1-100 scale based on Authentication, Authorization, Logging, and robust Evidence collection.