MCP servers and skills: search, filter by where they run, and compare.
🤖 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
Chaos engineering for MCP agents: a stdio proxy that injects timeouts, errors, malformed JSON, schema drift and stale results, plus a benchmark that measures how agents recover.
PythonMITFew starsNo key
Fault injection toolkit for agent systems. Inject latency spikes, partial failures, 429s, malformed tool outputs, and stale context between agents and their tools. Scenario-driven. Prove your circuit
SkillMIT★ 2Few starsNo key
Chaos engineering for AI agents — a fault-injecting MCP proxy. Zero code: point your agent's MCP config at the proxy and break things on purpose, before production does.
PythonApache-2.0Few starsNo 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
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
Read-only MCP tools and reproducible scenarios for Kubernetes root-cause analysis
PythonApache-2.0★ 1Few starsNo key
Property-based reliability testing for tool-using AI agents under partial failures.
PythonApache-2.0★ 1Few starsNo key
PythonMIT★ 4Few starsNo key
⚡ A Kiro Power for autonomous AWS cloud operations — incident RCA, blast radius, resiliency scoring, chaos engineering, deployment safety gates, cost anomaly detection & security posture
SkillMITFew starsNo key
Chaos testing for AI agents. Break the MCP tools your agent depends on, score how it copes, fix what broke. Claude Code plugin + GitHub Action.
GoMITFew starsNo key
Fault injection and reliability scoring for MCP servers
PythonApache-2.0★ 1Few starsNo key
ClaudeOps hAIveMind - Distributed AI collective memory MCP server for DevOps automation and multi-agent coordination
PythonMIT★ 7No key
Load and chaos testing for AI agent orchestration plumbing: adversarial mock model endpoint + mock MCP tool fabric, knee detection with CIs, honest confidence labels.
PythonApache-2.0★ 1Few starsNo key
SkillMIT★ 3Few starsNo 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
Code architecture analysis + distributed system simulation. 8 languages, 15+ frameworks, ConstellationGraph, queueing theory simulator.
SkillMIT★ 1Few 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
A lab for a per-call policy gate, an action monitor and a scripted approval step over an incident agent. Closed at a baseline, 2026-09-06.
SkillMITFew starsNo key
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