"Executing Operations and Maintenance Tasks, Such as Deployment and Upgrades" matching MCP servers:

Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.

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.

Enables AI assistants to perform cybersecurity tasks including hash analysis, CVE lookup, HTTP header auditing, WHOIS/OSINT, payload decoding, password strength evaluation, and threat report generation.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

Enables AI assistants to perform authorized WiFi security assessments, including network scanning, handshake capture, and password cracking, by executing aircrack-ng commands on a remote Kali Linux system via SSH.

Exposes Tenable security operations as MCP tools for AI-powered security workflows, enabling asset, vulnerability, scan, plugin, and tag management via natural language.

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.

Provides programmatic access to Mimikatz for credential extraction, Kerberos attacks, SAM/LSA dumping, and other Windows security assessment tasks through natural language.

Connects Claude Code to a Latent Defense deployment to map GitHub repositories into an infrastructure graph, discover attack paths using the JEPA energy model, and triage findings from the terminal.

An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.

An authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.

Enables network scanning and reconnaissance tasks like port scanning, OS detection, DNS brute force, and more through MCP interfaces.

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

Enables security teams to run controlled adversarial penetration tests against authorized ML/LLM API endpoints, scoring responses and generating evidence for compliance frameworks such as SOC 2, ISO 27001, and GDPR.

Enables LLMs to perform automated penetration testing and Active Directory reconnaissance through Mythic, with tools for executing PowerShell, AD recon, domain user enumeration, and Kerberoasting.

An intentionally vulnerable case management system designed for security training that provides MCP tools for SOC analyst workflows like case handling and indicator search. It enables users to explore and demonstrate common security weaknesses such as prompt injection, SQL injection, and broken authorization in an MCP-integrated environment.

Enables AI-powered automated testing, security scanning, code review, and maintenance tasks directly within Claude Code or desktop.

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.

Provides MCP clients like Claude with tools to query and manage security scans, CVEs, assets, findings, threat intel, and generate polished reports by acting as a lightweight adapter over the CVEasy backend API.

Manual listener MCP server that bridges OpenCode with local security tools via a Flask HTTP service, enabling AI-assisted security operations.