"Information on Penetration Testing (Pentest)" matching MCP servers:

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

Code-aware browser testing agent — reads your codebase, understands functionality, tests every element, reports with screenshots. Works as MCP server for Cursor/Claude Code or standalone CLI.

An automated penetration testing framework that enables intelligent security assessments through reconnaissance, vulnerability scanning, and controlled exploitation. Features AI-driven workflow management with comprehensive reporting for authorized security testing.

Enables AI agents to orchestrate 25+ security tools for penetration testing through natural language, automating scans, vulnerability detection, and report generation.

Unified penetration testing MCP server for Claude Desktop providing 34 security tools for reconnaissance, web scanning, code analysis, and authenticated testing.

Enables AI assistants to write and debug integration tests by providing live access to DOM structure and executing code directly in test environments.

MCP server for testing GitHub Actions workflows locally using nektos/act.

Enables accessibility testing of websites and HTML content using axe-core and IBM Equal Access engines. Supports WCAG compliance checking, multi-viewport testing, and provides detailed violation reports with remediation guidance.

A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.

A security testing tool that enables automated vulnerability detection including XSS and SQL injection, along with comprehensive browser interaction capabilities for web application penetration testing.

Enables MCP-capable AI agents to run authorization-gated reconnaissance, vulnerability scanning, web application testing, exploitation, CTF tasks, reporting, and integrations with tools such as Burp, ZAP, and DefectDojo.

AI-powered security scanning MCP server that exposes 25+ professional tools, enabling penetration testing and security assessments through natural language interaction with AI agents like Claude Desktop.

A Model Context Protocol server that integrates essential penetration testing tools (Nmap, Gobuster, Nikto, John the Ripper) into a unified natural language interface, allowing security professionals to execute and chain multiple tools through conversational commands.

Autonomous pentests from one command: real security tools, working PoCs, and audit-ready reports, all driven via MCP.

Enables authorized penetration testing and security assessments with CVE monitoring, vulnerability scanning, and reporting features.

Wraps common web penetration testing tools in a Docker container and exposes them as Claude tools for educational use in controlled lab environments.

Enables automated testing and coverage reporting for MCP services with test execution, file generation, and mock service creation. Provides comprehensive testing infrastructure including Jest integration, coverage reports, and health checks for the MCP ecosystem.

MCP server that enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy.

Enables AI coding assistants to perform authorized attack-surface reconnaissance and vulnerability intelligence through stdio JSON-RPC tools for HTTP probing, TCP port scanning, directory discovery, template checks, and CISA KEV/cve.now lookups.

An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

A Model Context Protocol server for automated security vulnerability assessment, combining OWASP Dependency-Check dependency scanning with custom code vulnerability detection, and generating detailed HTML and JSON reports.

An MCP server that extends kali-mcp with cloud (AWS/Azure/GCP), API/GraphQL/JWT, OSINT, container/K8s, IaC/SAST, mobile, binary analysis, and reporting tools, all accessible via an HTTP MCP endpoint.

Enables natural-language-driven security testing by orchestrating multiple pen-testing tools through MCP, with automated scan execution and AI-assisted vulnerability summarization.

An MCP server that integrates various penetration testing tools, enabling security professionals to perform reconnaissance, vulnerability scanning, and API testing through natural language commands in compatible LLM clients like Claude Desktop.

MCP server for Apple Notes enabling read, search, write, and sync of notes with high fidelity, including styles, attachments, and bidirectional Markdown sync.

Enables AI agents and MCP hosts to drive a persistent headless Chromium browser through Playwright, navigating pages, mapping visible fields and actions, clicking, typing, scrolling, and capturing screenshots via stdio tool calls. It also powers a local AI Test Studio dashboard that generates and runs structured end-to-end test plans with assertions, per-step timing, and screenshot evidence.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

A universal AI-powered testing server built on the Model Context Protocol (MCP). Allows AI agents to inspect, execute, test, monitor, debug, and report on software projects.