Model Context Protocol (MCP) Client for Apify's Actors

Goku is an HTTP load testing application written in Rust

Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.

Use cultivar to test your Agent Skills, run them in sandboxes, and across different agents.

A native desktop application for developing, testing, and debugging Model Context Protocol servers.

QA Skills Directory QA Skills is a curated directory of testing-specific skills for AI coding agents (Claude Code, Cursor, Copilot, etc.).

Visual testing tool for MCP servers

Sage Mode for F# development — REPL with solution or project loading, Live Testing for FREE, Hot Reload, and session management.

CLI tool for controlling Unity Editor via command line - Play Mode, console logs, tests, scenes, GameObjects and more

A test runner for agentskills.io-style AI agent skills

CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them.

Open-source statement-level Playwright tracer, purpose-built for AI agents. Analyzes test runs with increased accuracy.

Token-efficient, local-first CLI tools for coding agents - compact Maven, npm/Node, and Go test output plus reusable development helpers.

Tools for AI agents to test, fix and optimise your codebase

Security testing that runs inside the coding agent you already use. Source-available, not open source.

Authorized security testing workspace. v2 TypeScript terminal product on release; v1 Python on pypi-release; Go branch is demo only.

Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.

MockServer is an HTTP(S) mock server and proxy for testing that lets you mock APIs, inspect and modify live traffic, and inject failures. It supports HTTP/1.1, HTTP/2, gRPC, WebSockets, TCP and more on a single port, with additional support for HTTP/3, message brokers, and AI/LLM APIs.

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

Mobile app automation and verification for AI coding agents. CLI, MCP server, and typed Node.js API for iOS, Android, HarmonyOS, TV, web, macOS, and Linux.

Agent Skills Evaluation Framework

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

CLI and telemetry system for querying local, CI, and production runtime data.

Companion products for AI-assisted software work.