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CNAPP engine transformed into MCP server for AI-driven cloud security

The developer behind Emfirge has transformed its cloud-native application protection platform (CNAPP) engine into an MCP server, allowing it to integrate directly with AI tools like Claude and Cursor. This new architecture enables users to interact with a live graph of their cloud infrastructure, analyze attack paths, calculate blast radius, and simulate security fixes without leaving their AI environment. To address privacy concerns, resource identifiers are tokenized locally before any interaction with AI models, ensuring sensitive data remains within the user's environment. AI

IMPACT Enables AI-driven analysis of cloud infrastructure security, allowing for interactive investigation of attack paths and risk simulation.

RANK_REASON The article describes a technical integration of an existing security tool (CNAPP engine) into a new interface (MCP server) for use with AI clients, rather than a novel AI model release or core AI research.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Ansh Sonkar ·

    Turned CNAPP engine into an MCP server

    <p>While building Emfirge my own CNAPP to learn about infrastructure building, I kept running into the same problem most of the time.</p> <p>Cloud security tools are great at finding issues, but they're usually trapped inside dashboards. So lets say if I wanted to investigate an …