MCP servers and skills: search, filter by where they run, and compare.
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 o
DockerApache-2.0★ 5.0kNo key
🤖 Aurora QA — AI-powered autonomous quality engineering platform. Multi-agent pipelines, self-healing tests, chaos engineering, MCP server & real-time dashboard.
SkillMIT★ 1Few starsNo key
AI-powered security scanner & chaos engineering platform. Multi-tier vulnerability detection, RAG-powered code analysis, auto-fix generation, and chaos simulation — all running locally with Ollama.
SkillMIT★ 1Few starsNo key
AI-native chaos engineering orchestrator for Kubernetes — autonomous planning loop, DPv2-compatible engines (NetworkPolicy + Envoy fault injection), and MCP tools for arena/SUT/baseline.
GoApache-2.0★ 2Few starsNo key
A sandbox for the third-party APIs you depend on. Built from the provider's spec, it fails on purpose, and it replays the exact failure production hit.
GoApache-2.0★ 82No key
Multi-tenant chaos-engineering / API-resilience control plane, demonstrating fault injection, optimistic concurrency, Kafka-driven execution, and distributed-systems resilience. Java 21, Spring Boot 4
SkillMITFew starsNo key
Test the protocols your show, installation or IoT gear speaks: send, capture, emulate and impair OSC, UDP/TCP, HTTP, WebSocket and MQTT — by hand, as repeatable experiments and load tests, or from the
SkillMIT★ 14No key
Injects realistic failures into AI agents — broken connectors, expired auth, prompt injection, schema drift, truncated payloads — and judges from tool-boundary evidence whether the agent reported the
SkillMIT★ 1Few starsNo key
107 production-grade QA engineering skills for AI agents — frontend, API, performance, mobile, security, CI, and AI/LLM testing. MCP-ready: works with Claude Code, Claude Desktop, Cursor, Zed, Windsur
SkillMIT★ 5No key
Test how MCP clients handle failures and recover. Run repeatable scenarios against built-in faults or external MCP servers.
Node.jsMIT★ 4Few starsNo key
Read-only MCP tools and reproducible scenarios for Kubernetes root-cause analysis
PythonApache-2.0★ 1Few starsNo key
PythonMIT★ 4Few starsNo key
ClaudeOps hAIveMind - Distributed AI collective memory MCP server for DevOps automation and multi-agent coordination
PythonMIT★ 7No key
An AI Agent Platform for R&D efficiency and SRE troubleshooting. Built with FastAPI and LangGraph, featuring stateful orchestration, tool calling, and observability.
SkillMIT★ 1Few starsNo key
HTTP and HTTPS fault-injection proxy for development and testing: see every outbound call your app makes, then slow it down, fail it or cut it off on purpose
GoMIT★ 1Few starsNo key
A local test harness for AI agent systems. Compare the same work before and after a change.
SkillApache-2.0Few starsNo key
A production-grade AIOps framework focused on model integrity and autonomous reliability. Features a LightGBM-driven multiclass inference engine via FastMCP, validated against data leakage through NMI
SkillMIT★ 2Few starsNo key
Harness Engineering for AI coding agents: a spec-driven 4-stage pipeline, fail-closed proof gates, design-truth layer & production-ready Next.js 15 starter.
SkillMIT★ 1Few starsNo key
AI-native Apple-first full-stack design and engineering ecosystem for agents, MCP, LLM workflows, governance, and open source platform development.
SkillMIT★ 1Few starsNo key
The Agent-Native Open Source Contribution Engine — 6-Dimension Weapon Arsenal, 24-Command CLI, Top-K Smart Pointer Triage, 20 MCP Tools & Worktree Sandbox
SkillMIT★ 1Few starsNo key
🤖 Multi-agent AI dev team in Python: turns a feature request into a planned, coded and tested project. LLM agents for planning, backend, frontend, QA & security; a verifier runs real tests and loops
SkillMITFew starsNo key
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