Armor Crypto MCP is a tool designed for the integration of AI agents and the cryptocurrency ecosystem, supporting functions such as wallet management, trading, and cross - chain operations. It is currently in the Alpha testing phase.

The Xcode MCP Server is a server based on the Model Context Protocol, providing comprehensive Xcode integration capabilities for AI assistants, including project management, file operations, build testing, CocoaPods and Swift package management, and iOS simulator tools.

PMAT is a zero-configuration AI code context generation tool that provides functions such as code quality analysis, technical debt grading, mutation testing, repository health scoring, and semantic search. It supports over 17 programming languages and can be integrated with AI assistants such as Claude Code through the MCP protocol.

MCP Appium is an intelligent mobile automation server based on the model context protocol, providing cross - platform mobile app testing tools for AI assistants, supporting iOS and Android platforms, and featuring intelligent element location, session management, and automated test generation functions.

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

The VibeCheck Web testing tool is an AI-driven web testing agent designed to simplify the web testing process for developers. It integrates with AI programming assistants through the MCP protocol, supporting automated test recording, execution, and discovery, and helping developers quickly identify and fix code issues.

This project provides a configuration guide for the MCP service integrated with Shortcut, supporting operation in AI development tools such as Windsurf, Cursor, and Claude Code, including installation instructions, FAQs, and local development testing methods.

This project uses Playwright for automated browser testing and is integrated and deployed with Cloudflare Workers, Browser Rendering, and @cloudflare/playwright, supporting web page interaction operations through an AI assistant.

BurpMCP is a Burp Suite extension that enhances application security testing capabilities by integrating modern AI technology and provides intelligent assisted testing functions.

This is an experimental MCP server that allows AI agents to interact with running Flutter applications through the VM service and execute Maestro automated testing processes.

Yamu is an experimental MCP server project aimed at enabling AI programming assistants to interact with Unity projects, providing compilation and testing functions, and supporting an automated edit-compile-debug cycle.

An OAuth2 authorization server project based on Spring Boot 3 and Java 24, supporting GraalVM native images, CRaC checkpoint restoration, local AI model testing, and Docker deployment.

The Zebbern Kali MCP server is a comprehensive penetration testing platform based on the Model Context Protocol (MCP), providing 139 functions for AI assistants (such as GitHub Copilot) to directly execute security tools on the Kali Linux system through a standardized API, covering network reconnaissance, web application testing, password cracking, vulnerability exploitation, and Active Directory attacks.

The Kali Linux MCP project encapsulates Kali security tools through the Flask API and provides an MCP bridge service, supporting AI-assisted security testing workflows

This project is a Mongo MCP server built on Spring Boot AI, used to connect to local MongoDB instances and expose database operations through callable tools, and supports testing through MCP clients.

AutoSpectra is an all-in-one AI agent automation platform that provides an integrated solution for browser automation, API testing, debugging tools, etc., and is compatible with multiple AI model systems.

The Enkrypt AI MCP Server is a tool integrating red team testing, prompt auditing, and AI security analysis, supporting integration with MCP - compatible clients.

FridaC2MCP is a proof - of - concept project that exposes the capabilities of the Frida dynamic instrumentation tool as a remote MCP server through HTTP streaming, aiming to achieve remote and automated mobile application security testing. The project is designed to run on a rooted Android device, allowing clients to analyze and manipulate running applications over the network.

Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.

Kali MCP Server is a lightweight API bridging tool that connects MCP clients to the Kali Linux terminal, enabling AI - assisted penetration testing and CTF challenge automation.

MCPStudio is an AI tool integration platform similar to Postman, providing a visual interface for creating, testing, and managing Model Context Protocol servers, simplifying the connection process between AI systems and external services.

The MCP Server of Debugg AI is an AI-driven browser automation testing tool that supports end-to-end testing through natural language and CLI. It can remotely manage browser tests without configuration and is suitable for local development or CI/CD processes.

The Bazel MCP Server is a local service that provides AI agents supporting the MCP protocol with access to the functions of the Bazel build system. It solves the problem that Bazel cannot be used in the MCP environment due to the lack of command-line tools or incorrect environment configuration. It provides core functions such as building, querying, and testing, and supports dynamically setting the workspace path.

An MCP server that connects Claude Desktop with Kali Linux security tools, a development kit for AI - assisted penetration testing

ZAP-MCP is a bridging protocol between OWASP ZAP and AI models, which realizes AI-driven automated security testing and analysis functions through a standardized interface.

The VibeCheck Web testing tool is an AI-driven web testing agent integrated into AI programming assistants (such as GitHub Copilot, Cursor, etc.) through the MCP protocol to achieve automated test recording, execution, and discovery. It uses Playwright to control the browser, supports generating test scripts through natural language description, executes regression tests, and automatically discovers potential test steps, improving development efficiency and test accuracy.

MyBatis Mapper XML SQL extraction service based on the MCP protocol, providing SQL parsing, parameter simulation, and database testing functions. It is an expert tool that supports AI collaboration.

VkRunner is a Vulkan shader testing tool based on Piglit's shader_runner, aiming to support test scripts as similar as possible to Piglit's shader_test format. It supports writing shaders in GLSL or SPIR-V and provides a rich set of test commands to verify shader behavior, including drawing, computing, and probe detection functions.

An MCP server for AI-driven penetration testing competitions, providing functions such as challenge management, knowledge base, persistent Kali container, and attempt history, and supporting integration of multiple protocols.

A YAML declarative API testing framework, optimized for AI programming assistants. It seamlessly integrates with editors such as Claude/Cursor through the MCP server, enabling efficient API test generation and execution.

The Sauce Labs MCP Server is a model context protocol server fully integrated with the Sauce Labs testing platform, supporting AI assistants to manage the device cloud, test tasks, build analysis, and monitor the test infrastructure through natural language interaction.

Lookerctl is a comprehensive command - line tool for large - scale management and optimization of LookML. It provides functions such as local fast verification, usage analysis, dependency mapping, scientific testing, and AI integration, and supports the MCP server for use by AI agents.

BrowserStack MCP Server is a testing platform service that allows developers to directly use the features of the BrowserStack testing platform through AI tools, supporting both manual and automated testing, including mobile app and web testing.

Unity-MCP is an open-source bridge that connects Unity with AI assistants, enabling AI-assisted game development, automated testing, and scenario analysis through the MCP protocol.

The MCP Server Testing Tool is a configuration-driven testing solution for verifying, benchmarking, and ensuring the reliability of MCP servers integrated with AI models. It supports automatic tool discovery, generation of intelligent test cases, execution of validation, and generation of detailed reports.

FFUF MCP is a bridge that connects the high-speed web fuzzing tool FFUF with the Model Context Protocol (MCP) ecosystem. It integrates FFUF features into MCP-compatible applications through a standardized protocol, supporting automated security testing and AI-assisted workflows.

This is an AI intelligent agent project that integrates the Kali Linux Docker environment and the local Windows host, providing unrestricted security testing and control capabilities.

Flutter - skill is an AI - native end - to - end testing tool that allows AI agents to directly interact with running applications through the MCP protocol, supporting 10 platforms without writing test code.

The plugged.in App is a comprehensive web application for managing Model Context Protocol (MCP) servers, providing a unified interface to discover, configure, and use AI tools across multiple MCP servers. It supports multi - workspaces, an interactive testing platform, tool management, resource discovery, etc., can be integrated with various MCP clients, and supports self - hosted deployment.

This project is an improved version based on UnityMCP, focusing on AI-assisted development of VRChat worlds. It provides enhanced command execution, editor integration, script testing, and performance optimization features, and specifically supports UdonSharp script generation.