"A server for finding cyber security information and resources" matching MCP servers:

Provides AI agents with 25 security analysis tools including vulnerability scanning, package hallucination detection, prompt injection firewall, and CI/CD integration.

Enables MCP-compatible agent hosts to delegate governed, read-only security audits and reviews of code, applications, agents, prompts, MCP configurations, and cloud environments through evidence-first findings and stable schemas.

A sandbox-first MCP server that enables AI agents to safely perform reverse-engineering tasks in fully isolated Docker containers, featuring zero-trust security, declarative YAML-based skills, and white-hat ethical safeguards.

Enables AI agents to run multi-stage CyberChef recipes, decode and encode data, deobfuscate payloads, calculate entropy, and decode JWTs through MCP tools.

Zero-key security toolkit for your AI assistant: grade any website's security A+ to F, check if CVEs are actively exploited via CISA KEV and EPSS, and get MITRE ATT&CK defenses explained in plain English. No API keys, no signup.

Security auditor for MCP servers that enumerates tools, resources, and prompts, scans for injection patterns, classifies risk levels, and produces a scored report (0-100, grades A-F).

AI-powered cybersecurity automation platform with 155+ security tools for network, web, cloud, and binary analysis, controllable via natural language through MCP-compatible AI assistants.

Provides security tools (prompt injection detection, CVE lookup, version impact assessment) for MCP clients like Claude.

A production-style MCP server providing AI models with cybersecurity tools including port scanning, WHOIS, DNS, threat intelligence, CVE lookup, and more.

14 atomic MCP tools for AppSec and AI Security engineers: source/schema/prompt audit primitives, JWT inspect, HTTP diff, pentest atoms (default creds, GraphQL introspect, phpggc, interactsh OOB), and a defensive helpers library that fixes the bugs the detectors flag. SARIF output, PyPI Trusted Publishing with Sigstore provenance.

Provides security audit primitives for MCP servers, agent tool schemas, and system prompts, along with pentest utilities like JWT inspection and HTTP diffing.

Security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows.

Integrates Checkov, Semgrep, Bandit, and ASH to provide comprehensive code security analysis for AI coding assistants.

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

Security for the MCP servers you use: detects tool poisoning, rug pulls, shadowing, secrets and supply-chain risk (OWASP MCP Top 10), with runtime guards and approved-server policy. Runs locally.

Vulnerability intelligence for AI agents that enables CVE lookup, package vulnerability checks, and dependency auditing without API keys.

Enables comprehensive vulnerability scanning using Nuclei scanner with support for single targets, network ranges, and cluster-wide security assessments with customizable severity levels and automated scheduling.

Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.

Enables auditing a Supabase project's security beyond the dashboard's Security Advisor, checking anonymous access, RLS policies, and cross-tenant data leaks via read-only probes and a two-account test.