"Penetration Testing" matching MCP servers:

Enables Android APK reverse engineering and Flutter runtime injection through a six-step pipeline of decompile, analyze, synthesize, inject, patch, and repackage. Provides MCP tools for authorized security research and penetration testing.

Provides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.

Enables testing, explaining, debugging, and generating regular expressions directly within editors like Claude Code, Cursor, and VS Code Copilot, without leaving the editor.

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.

Enables LLMs to access AST-based code structure maps, token-efficient skeletons, and analyze diff impact and blast radius for regression testing.

Automatically generates Postman collections from code directories by analyzing API endpoints and parameters, enabling easy testing, documentation, and sharing.

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

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.

An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.

MCP server that performs mutation testing and diff scoping to score how trustworthy tests are for detecting regressions in changed code.

Model Context Protocol server for security research automation, integrating multiple security testing tools into LLM-driven workflows for secret scanning, static analysis, and vulnerability discovery.

Provides instant access to MCP development documentation, best practices, production checklists, common mistakes, architecture patterns, and testing strategies to help developers build production-ready MCP servers.

Multi-system MCP server for reading and writing ABAP source via SAP ADT, with a local web admin, browser-based login, and tools for source navigation, editing, activation, testing, and debugging.

Enables AI coding agents to interact with Gel databases by executing queries, testing changes in transactions, and accessing code examples and rules for advanced workflows.

Enables coding agents to perform Java semantic navigation, diagnostics, compilation, JUnit testing, debugging, coverage, affected-test discovery, and safe refactoring previews without modifying source files.

Provides AI agents with a unified MCP interface for Android APK reverse engineering, metadata analysis, Smali/resource editing, rebuilding, signing, verification, and ADB device testing.

MCP server that bundles curated development rules and tools to teach AI agents universal coding standards, testing, planning, and requirements engineering.

Enables AI-driven static application security testing (SAST) through MCP, allowing users to scan codebases, detect vulnerabilities, and triage findings using natural language.

Bridges AI assistants with Xcode to control projects, builds, simulators, testing, and debugging without manual interaction.

MCP server providing seven tools for parsing, grammar validation, error explanation, fixture testing, plugin inspection, and grammar compatibility comparison, with byte-identical CLI and MCP outputs.