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MCP servers tagged chaos-engineering
25 live MCP servers tagged "chaos-engineering", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with chaos-engineering.
Mockserver Monorepo
MockServer enables easy mocking of any system you integrate with via HTTP or HTTPS with clients written in Java, JavaScript and Ruby. MockServer also includes a proxy that intros…
Dev Proxy
Simulate API failures, throttling, and chaos — all from your command line.
Pikopod
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.
SignalLab
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 lo…
Rebound
The open source toolbox for resilient operations
Evalmonkey
CLI for agent builders to benchmark & chaos test your AI Agents. Text, Voice, Code supported.
Drill
Fault injection and reliability scoring for Model Context Protocol (MCP) servers.
Agent Chaos
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…
AgentRigor
Property-based reliability testing for tool-using AI agents under partial failures.
Agent Chaos Monkey
Chaos engineering for AI agents. Injects connector failures, expired auth, prompt injection, tool schema drift and truncated payloads, then judges from tool-boundary evidence whet…
Swarmbreaker
Load and chaos testing for AI agent orchestration plumbing: adversarial mock model endpoint + mock MCP tool fabric, knee detection with CIs, honest confidence labels.
Faultline
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
Sentinel AIOps
Transform CI/CD failure logs into real-time automated anomaly detection and root-cause classification using supervised machine learning.
Pytest Resilience Agent
pytest plugin that runs your LLM app under controlled chaos (timeouts, brownouts, rate limits, MCP errors, composed failures) and asserts it still meets its contract
Sentinel Engine Crewai
A hierarchical CrewAI crew that watches a Dagster → dbt → DuckDB pipeline, diagnoses 14 injected failure modes, and is scored against a ground-truth ledger.
Agent Governance Toolkit
Manage and monitor AI agents in production environments with tools for governance, safety, and compliance.
K8s Rca MCP Server
Read-only MCP tools and reproducible scenarios for Kubernetes root-cause analysis
Tollgate
Safety layer for AI agents — Protect · Route · Prove. Budgets, tool-loop hard stops, failover, chaos DR proof. OpenAI drop-in · MCP · n8n.
Storm
Fault-injection proxy at the MCP boundary: what tool failures cost your agent (completion, token multiplier, retry storms, dollars per task). Preregistered dose-response.
Blackout
Chaos engineering for your data stack — powered by the DataHub context graph.
Heavnz0r Crashlab
A fault laboratory for agent workflows: deterministic MCP tool failures, effect invariants, counterexamples, and action replay.
Incidentgate
An AI-control evaluation harness: does a policy, monitor and human-approval chain stop an adversarial incident-response agent, and which layer does the work? Closed at a baseline…
Cwm MCP
Hosted streamable HTTP MCP server for Cloud World Model: simulate cloud infrastructure and estimate cost, latency and resilience before deploying or changing infrastructure. Multi…
Sentinel AIOps
Transform CI/CD failure logs into real-time automated anomaly detection and root-cause classification using supervised machine learning.
Fault Injection Harness
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.