"Server Fault" matching MCP servers:

Tells your coding agent which tests to run after a change, and whether a failing test is its fault. Tools: select_tests (only the tests the change can affect, with reasons), triage_failure (new regression, pre-existing, flaky or unknown) and explain. Needs a self-hosted siftwise server; fails open to the full suite. Tested with Claude Code, Copilot, Cursor, Codex and Gemini.

Fault injection and reliability scoring for MCP servers. Scans tool output schemas, injects corrupted payloads, and measures contract enforceability. Model-free, deterministic, no LLM required.

Enables interaction with AWS Fault Injection Service to create, manage, and execute chaos engineering experiments. Operates in read-only mode by default for security, with optional write operations for starting/stopping experiments and managing templates.

Enables AI coding agents to build, flash, debug, and communicate with STM32 microcontrollers over ST-Link entirely within the conversation. Provides headless CubeIDE builds, OpenOCD flashing, hardware breakpoints, live SWD variable monitoring resolved by C symbol names, fault triage, and pooled serial VCP I/O with deterministic sequencing for hardware-in-the-loop tests.

A chaos-engineering and resilience-testing toolkit for Model Context Protocol servers, enabling deterministic fault injection and testing of reliability scenarios.

Serves configurable fake service worlds as MCP tools with fault injection, recording every call and enabling seeded pytest assertions on final state.

Enables simulating deterministic tool failures and evaluating agent workflows against effect invariants, with action replay for reproducible fault analysis.

Analyzes DevOps findings to automatically recommend and generate AWS Fault Injection Simulator (FIS) experiment templates. It helps teams validate system resilience by mapping reported issues to specific chaos engineering actions across AWS services.

Enables controlled interception, review, and editing of web_search and fetch_page responses through a native desktop console, supporting live retrieval, synthetic or hybrid results, context sessions, and fault injection for AI agent robustness experiments.

An MCP server for Chaos Mesh fault injection, optimized for AWS EKS with namespace support, enabling pod, network, and host-level chaos experiments.

Orchestrates end-to-end testing of AI-powered incident remediation workflows through declarative YAML scenarios, fault injection, AI response evaluation, and automated command execution with comprehensive reporting.

Enables AI agents to investigate and manipulate live network simulations via MCP, including protocol debugging and fault injection.

Enables distributed multi-agent chaos latency injection and fault fuzzing, allowing MCP-compatible clients to inject network faults and retrieve structured execution telemetry.