"Information about Unreal Engine 5 (UE5)" matching MCP servers:

Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.

Enables generating falsifiable fleet hypotheses, compiling them into minimal bounded probe plans with control cohorts, and evaluating observations to return supported, refuted, or inconclusive verdicts.

Enables testing AI safety classifier robustness against query decomposition, obfuscation, and multi-agent attacks. Provides tools for full evaluation pipelines, query previews, and status checks.

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.

Self-hosted MCP engine for private code reviews, providing deterministic static analysis and AST-level search over diffs, with findings passed to a review agent of your choice.

This server enables AI-assisted APK reverse-engineering entirely on-device, orchestrating jadx, apktool, adb, frida, and APKiD through a job/workflow engine, and exposing those agents as native MCP tools for Claude without any cloud dependency.

Enables querying MITRE's Common Weakness Enumeration database for vulnerability information, supporting CWE lookup, search, taxonomy navigation, and relationship mapping through MCP.

Enables users to retrieve and display CVE vulnerability information from the National Vulnerability Database (NVD) with support for keyword search and detailed lookup.

Scans MCP servers for prompt-injection, tool-poisoning, and SSRF vulnerabilities using 30+ canonical rules across 5 severity tiers, with optional signed safety reports for procurement.

Multi-engine container and system vulnerability scanning for AI agents. Wraps Trivy and Grype with cross-engine validation, SBOM generation, and IaC misconfiguration scanning.

AI-powered penetration testing reasoning engine (MCP server) for attack path planning, step scoring, and tool recommendations using Beam Search and Monte Carlo Tree Search.

A real security scanning MCP server for medical information systems, supporting port scanning, vulnerability detection, medical system identification, and compliance report generation.

Enables LLMs to conduct passive attack-surface research by collecting public information, referencing saved reports, and verifying evidence through MCP tools.

A comprehensive MCP server for web security reconnaissance, providing tools for passive and active information gathering, DNS analysis, network scanning, and web application analysis.

Safety-bounded MCP server bridging Codex to Bit Slicer's memory inspection engine on macOS ARM64, enabling process attach, memory reads, scans, pointer chains, and disassembly with explicit approval.

Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.

Enterprise-grade zero-dependency security shield and runtime governance engine for MCP servers, providing OWASP MCP Top 10 audits, cryptographic tool call signing, AIBOM generation, and inline parameter firewall protection.

Provides access to Shodan's IoT search engine API for device search, host intelligence, exploit database, network scanning, and security analysis through natural language.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.

MCP server that exposes Shodan API for host information, search, alerts, scanning, and exploit data.

Enables AI agents to programmatically control Cheat Engine for memory scanning, editing, cheat table management, and reverse engineering tasks.

An AI-powered penetration testing reasoning engine that provides automated attack path planning, step-by-step guidance for CTFs/HTB challenges, and tool recommendations using Beam Search and MCTS algorithms.

An AI-powered dependency decision engine that lets agents analyze blast radius, simulate upgrades, trace security attack paths, and visualize dependency topology in a 3D galaxy viewer.

Cyber Host Artificial Intelligence (C.H.A.I) An autonomous penetration testing MCP (Model Context Protocol) server with an integrated AI decision engine, multi-provider LLM support, and an extensible plugin architecture.

Enables static analysis, vulnerability scanning, gas optimization, formal specification verification, and audit report generation for smart contracts across Ethereum, Polygon, Arbitrum, Optimism, and Base. It also retrieves deployed contract information and audit history, persisting findings between sessions.

Automatically generates pocsuite3-compliant POC (Proof of Concept) code from vulnerability information, with built-in safety features to prevent harmful payloads and ensure secure security testing.

Enables AI agents to analyze memory dumps for forensic investigation, leveraging a fast Rust engine and full Volatility3 plugin coverage via the Model Context Protocol.

MCP Server for Adversarial Co-Generation Engine Generates code and adversarial attacks from the same specification, at the same time — before a commit exists.

Enables AI agents to run authorized, OWASP Top 10-mapped web-security recon scans against a single target, list available check modules, and inspect optional scanner engine availability, returning severity-ranked findings and explicitly noting checks that found nothing.

Scans self-hosted, multi-tenant AI-agent platforms for tenant-isolation gaps. Native Go MCP server exposing a scan tool that wraps the CLI's audit engine.