A secure sandbox environment for malware developers and red teamers to test payloads against detection mechanisms before deployment. Integrates with LLM agents via MCP for enhanced analysis capabilities.

Vibetest MCP - automated QA testing using Browser-Use agents

My personal Claude Code and OpenAI Codex setup with battle-tested skills, commands, hooks, agents and MCP servers that I use daily.

MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.

All-in-one security testing toolbox that brings together popular open source tools through a single MCP interface. Connected to an AI agent, it enables tasks like pentesting, bug bounty hunting, threat hunting, and more.

skUnit is a testing tool for AI units, such as IChatClient, MCP Servers and agents.

Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool poisoning.

Open Source Generic MCP Client for testing & evaluating mcp servers and agents

Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.

Toolathlon-Gym for testing AI agents real-world tool-use capabilities across diverse MCP servers.

FlowLens is an open-source MCP server that gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing.

AI-powered mobile automation with Model Context Protocol (MCP) integration. Seamlessly control Android & iOS devices through Appium with intelligent visual element detection and recovery. Built for AI agents like Claude to perform complex mobile testing workflows.

Computer use-like MCP for webapps and electron apps, to enable AI agents to test their changes

Crawlbase MCP Server connects AI agents and LLMs with real-time web data. It powers Claude, Cursor, and Windsurf integrations with battle-tested web scraping, JavaScript rendering, and anti-bot protection enabling structured, live data inside your AI workflows.

Natural language test scenario runner agent with MCP tools

AI-powered MCP penetration testing framework combining HexStrike's 150+ security tools with BOAZ's advanced payload evasion (77+ loaders, 12 encoders). Features 12+ autonomous AI agents for bug bounty, CTF, CVE intelligence, exploit generation, and red team operations.

Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cursor, Windsurf, VS Code Copilot. 31 tools, 1116 tests.

MCP server giving AI agents full access to Julia's runtime via a live Gate — code execution, introspection, debugging, testing, and semantic search

A proof‑of‑concept C2 framework that uses Server‑Sent Events (SSE) and the MCP protocol for agent registration, command dispatch, and result collection. By tunneling through ngrok, you can quickly expose your C2 server to the public internet for rapid testing and demonstration.

Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with built-in session management, execution hooks, MCP/A2A support, guardrails, observability and fault tolerance.

TypeScript SDK for Odoo; CLI; Skill modules and MCP server for AI agents. CI-tested against v17 and v18.

Playwright AI Agent POM MCP ServerPlaywright AI Agent using Page Object Model (POM) architecture with MCP Server integration for automated web and mobile testing

MCP plugin to control Android devices via ADB (Android Debug Bridge) for automation, testing, and agent integration.

Model Context Protocol (MCP) server for JetBrains TeamCity: control builds, tests, agents and configs from AI coding assistants.

A debug server for AI-assisted mobile development and testing. Unified device logs, network traffic interception, and UI automation — exposed through APIs and MCP tools that let AI agents see what your app is really doing.

Collaborative application security testing between humans and agents via CLI and MCP

Exposes Azure DevOps functionality via MCP: Boards, Repos, Pipelines, Artifacts, Test Plans, and Wiki tools for AI agents.

Unity Code MCP is a MCP server that enables AI agents to work on Unity project autonomously, by providing tools to compile code and run tests in Unity Editor.

The MCP Internet Speed Test is a specialized Model Context Protocol (MCP) server that enables AI models and agents to perform internet speed measurements.

MCP server for Kali Linux penetration testing - 149 tools for AI-assisted security testing - Giving Agents access to full pentesting tools