"Cybersecurity penetration testing frameworks" matching MCP servers:

Cybersecurity AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables access to 200 compressed cybersecurity career profiles via tools for listing, searching, and invoking careers, supporting SOC, IR, pentest, GRC, IAM, and more.

Provides access to over 40 industry-standard penetration testing tools, including Nmap, SQLMap, and Metasploit, within an isolated Kali Linux Docker container. It enables security professionals to perform comprehensive network reconnaissance, web application testing, and vulnerability research through natural language commands.

Enables searching the NIST NVD for CVEs, retrieving full CVE details, checking software for known vulnerabilities, and searching the CPE database.

A security-first MCP (Model Context Protocol) backend built with Node.js and Express, featuring hardening, rate limiting, structured logging, and Docker support.

Enables vulnerability analysis by querying CVE data through the CIRCL API and provides professional security risk assessments for SOC and Blue Team operations. It integrates tools for searching vulnerabilities with resources like risk matrices and operational playbooks to help remediate security threats.

Provides penetration testing tools including nmap, nikto, sqlmap, wpscan, and exploit database searches for educational and authorized security testing purposes using Kali Linux tools.

Provides instant access to authoritative security documentation from organizations like OWASP, NIST, and major cloud providers through natural language semantic search. It enables users to retrieve security best practices, frameworks, and vulnerability information directly from a locally cached knowledge base.

Real-time CVE lookup with NIST NVD 2.0, CISA KEV alerts, EPSS exploitation probability, and MITRE ATT\&CK mappings. 7 MCP tools for AI-powered vulnerability assessment.

Enables AI agents to conduct authorized penetration tests by providing scope-enforced access to Metasploit Framework's RPC, with tools for reconnaissance, exploitation, session management, and post-exploitation.

Provides CVE search enriched with EPSS exploit likelihood and CISA KEV status, plus live IP/domain reputation and a real-time threat feed for AI agents.

MCP server with intentionally malicious capabilities for testing Cisco AI Defense supply chain scanning.

Enables AI agents to securely invoke only allowlisted, read-only tools on a local Kali Linux host over an encrypted network with OAuth2 authentication and least-privilege enforcement.

Enables security auditing, penetration testing, and compliance validation with tools like Semgrep, Trivy, Gitleaks, and OWASP ZAP. Features strict project boundary enforcement and supports OWASP, CIS, and NIST compliance frameworks.

An MCP server providing AI-powered cybersecurity, penetration testing, reconnaissance, vulnerability assessment, and security automation tools through the Model Context Protocol.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables comprehensive security testing and penetration testing through natural language conversations with 92+ tools for reconnaissance, vulnerability assessment, web application testing, OSINT, and reporting. Designed for authorized bug bounty hunting and security assessments.

Provides comprehensive access to NIST cybersecurity frameworks and controls, enabling AI assistants and applications to query, analyze, and manage NIST security controls through a standardized interface.

Offline methodology engine and payload workshop for authorized penetration testing, CTF, security research, and education via MCP.

Enables AI assistants to perform penetration testing and security assessments by exposing 60+ Kali Linux security tools including network scanning, web security testing, password cracking, exploitation frameworks, and OSINT capabilities through an AI-friendly interface.