"Information on Unreal Engine" matching MCP servers:

Local Phocinae decision-engine MCP stdio server: fail-closed approval gate + classify/route/score.

A consequence engine for shell commands. Blast Scope scores what a command would actually do before an AI agent runs it.

A read-only MCP server that provides tools to read, list, and inspect secrets from HashiCorp Vault's KV secrets engine (versions 1 and 2) using a Vault token.

Runs a regular expression on real engines — JavaScript (V8), Python (CPython re), PCRE2 and RE2 — reporting each engine's own compile errors with positions, every match with its groups and named groups, replacement results, and where the engines disagree. It also detects catastrophic backtracking (ReDoS), naming the at-risk part of the pattern, generating an attack string, and timing how long each engine actually takes on it.

An MCP server that enables AI assistants to interact with Tenzir, a data pipeline engine for security operations, including executing pipeline queries, managing OCSF schemas, and generating parsers.

Read-only attack-path tools for cloud and Kubernetes: list the reachable routes from internet exposure to sensitive assets, explain each hop and the evidence behind it, and simulate a fix before recommending it. Connects to a running PerspectiveGraph engine.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

Local security layer for coding agents: keeps secret values out of what Claude Code, Codex CLI, Cursor and OpenCode send to their model, and checks untrusted text for prompt injection. MIT, runs on your machine, no account.

Provides read-only access to CWI's trust infrastructure, enabling Gear Ledger provenance queries, agent trust scoring via the Verdict Engine, and NEEDLE DROP ledger hash-chain verification over stdio.

A redaction engine and MCP server that scrubs sensitive identifiers (AWS keys, IPs, emails, etc.) from AI agent traces, enabling safe storage and sharing of war stories via submit, search, and retrieve tools.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

A secure email gateway MCP server that protects AI agents from prompt injection attacks by scanning emails for malicious instructions before they reach the agent.

Enables AI agents to protect, unprotect, and search sensitive data using Kustodyan's contextual transform engine with role-based access controls.

Supply chain risk scoring for npm, PyPI, and GitHub repos

Indexes a workspace and exposes code-navigation tools to Codex, enabling symbol lookup, reference finding, dependency analysis, and security audit for local codebases.

Deterministic AI safety policy engine with Z3 formal verification. Write, verify, simulate, and enforce machine-verifiable safety constraints for AI agents. Completely outside the LLM.

Enables AI assistants to validate individual or batch email addresses for deliverability, and to check account plan information, through MCP tools.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Enables agents to search and call the full OPNsense core and plugin API, perform model-validated CRUD and settings operations, and use curated firewall, service, and network tools with optional auto-revert writes.

An MCP server for the Cortex observable analysis and active response engine. It enables LLMs to automate security investigations by running analyzers on observables like IPs and URLs and executing automated response actions.

Enables AI coding agents to route tool calls through PrivateVault's enforcement engine before execution, so disallowed actions are blocked and every decision is recorded as a verifiable, hash-chained audit record.

An MCP server for 7-Zip archive operations (list, extract, create) with dual-engine architecture and sandbox security features. Note: currently a learning project and not yet functional.

Enables AI assistants to check software end-of-life dates and support status using the endoflife.date API, providing accurate information on software lifecycle, security status, and upgrade recommendations in real-time.

Enables an MCP client to write, validate, run, explain, and tune Snort 3 detections against packet captures on disk offline, with every change verified by real engine runs and recorded in exportable case reports.

Fast architectural linter & guardrail engine for AI coding agents. Detects layer violations, leaked secrets, and enforces .cursorrules & CLAUDE.md standards in ~12ms.

Provides Cheat Engine-like capabilities for game hacking and reverse engineering through Frida, enabling memory scanning, value modification, pattern matching, function hooking, and code injection across processes.

Enables AI assistants to securely investigate packet captures through Wireshark's tshark engine, with bounded tools for protocol inventory, TCP failure diagnosis, latency measurement, and threat hunting.

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 conversational access to a local CVE (Common Vulnerabilities and Exposures) database, enabling natural language queries to search vulnerabilities, retrieve detailed CVE information, and view security statistics.

Multi-tier memory forensics MCP server combining a fast Rust engine with Volatility3 coverage for analyzing memory dumps.