"Information or resources about security" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Protects AI agents from threats like prompt injection, jailbreaks, and SQL injection through a multi-layer scanning pipeline. It also enables PII redaction and rehydration to ensure data privacy during LLM interactions.

MCP server that provides a 216-rule, framework-aware Kotlin/JVM security analyzer, enabling AI coding agents to query real security findings while writing code.

AI-powered VMware NSX DFW microsegmentation and security. Manage distributed firewall policies, security groups, Traceflow, and IDPS with 20 MCP tools.

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.

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

Enables AI agents to interact with Google NotebookLM and Gemini API for document analysis, deep research, and notebook creation with enterprise-grade security including post-quantum encryption and 14 security layers.

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.

MCP server for automated AWS security scanning — 19 modules, risk scoring, zero write operations.

Enables AI agents to intercept, inspect, modify, and replay HTTP, WebSocket, TCP, and UDP traffic through mitmproxy, with controlled security constraints and process isolation.

Standalone MCP server exposing only the security-classified tools from Shade Browser, enabling Brave CDP browser automation across 20 isolated profile slots. Built on FastMCP and Playwright Python.

Enables AI-assisted vulnerability management by connecting Claude Desktop to local Nessus and Tenable Vulnerability Management, allowing natural-language queries for scan management, threat intelligence enrichment, and prioritized remediation planning.

Orchestrates multiple AWS security services to provide comprehensive security assessments, threat analysis, and multi-framework compliance monitoring. It enables users to perform automated remediation recommendations and incident investigations through a unified Model Context Protocol interface.

Enables interaction with Picus Security's Breach & Attack Simulation API, allowing natural language queries for simulations, threat library searches, and agent management through MCP-compatible clients.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Security gate that scans MCP servers and Claude Code Skills for vulnerabilities before execution.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

MCP server that runs offensive security testing tools (nmap, sqlmap, hydra, nuclei, etc.) inside an isolated Kali Linux Docker container, with allowlist, rate limiting, and audit logging.