"How to run a Windows command" matching MCP servers:

Enables evidence-first binary and firmware analysis through MCP, exposing tools to initialize projects, analyze artifacts, query structured claims, export results, and run evaluations.

Exports vulnerability and asset data from Rapid7 Command Platform via the Bulk Export API into a local DuckDB database, enabling AI assistants to run natural language queries and SQL analysis with sandboxed security.

Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Enables passive security scanning of HAR files from QA test automation to detect missing security headers, insecure cookies, CORS misconfigurations, and leaked secrets, without making any live requests.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

Automates Android app analysis using Frida via AI commands, connecting a rooted Android phone to a computer and running dynamic analysis scripts without manual command execution.

Enables AI assistants to run Offensive360 SAST scans on local codebases, returning security findings with file/line, severity, and fixes, plus scan status tracking.

MCP server for TurboPentest — run AI-powered penetration tests and review findings from your coding assistant.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

MCP server for offensive-security tooling, enabling AI agents to run reconnaissance, CVE intelligence, JavaScript analysis, HTTP probing, and port scanning against authorized targets.

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

A Model Context Protocol (MCP) server for Kerberos abuse operations using Rubeus on Windows or Impacket on Linux/macOS.

Provides an MCP interface to a full Kali Linux environment running in Docker, enabling AI assistants to execute security tools like nmap, sqlmap, and metasploit. It allows users to start/stop the container, run shell commands, and transfer files for security testing and educational purposes.

Enables AI assistants to perform authorized penetration testing and security assessments by exposing 20+ Kali Linux security tools (nmap, sqlmap, gobuster, hydra, etc.) through a safe, validated interface with command allowlists, rate limiting, and input sanitization.

Enables MCP-compatible agents to query structured penetration testing engagement state captured from tmux sessions, including credentials, hosts, and command provenance with exact source bytes.

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

A comprehensive MCP server for Frida dynamic instrumentation, enabling AI agents to manage devices, processes, scripts, memory, and ADB operations.

An MCP server that provides AI assistants with access to CrackMapExec/NetExec network penetration testing capabilities via SSH to a Kali Linux host, supporting multiple protocols for enumeration, credential dumping, and command execution.

A tool that allows penetration testing through Kali Linux commands executed via a Multi-Conversation Protocol server, supporting security testing operations like SQL injection and command execution.