ChaosMonkey MCP

ChaosMonkey MCP is a local-first MCP server for autonomous fault injection and crash discovery. It gives AI agents such as IBM Bob, Claude, Cursor, and Codex provider-agnostic chaos engineering tools that can stress-test local projects, inject failures, execute commands, and identify resilience issues automatically. The project focuses on autonomous crash discovery rather than remediation. ChaosMonkey MCP does not modify repositories or generate fixes. Instead, it helps AI agents uncover hidden failure modes such as null-handling bugs, malformed payload assumptions, weak validation, and fragile error handling. The platform currently includes: * fault injection through nested null mutation, * repeated chaos execution with deterministic seeds, * structured crash and traceback reporting, * safe local command execution, * secure local file reading, * a production-ready local FastMCP server. ChaosMonkey MCP runs entirely locally over stdio using the Model Context Protocol, without requiring any cloud backend or hosted infrastructure. The project was developed using IBM Bob IDE during the hackathon, including the MCP architecture, tool design, fault injection workflows, and crash discovery pipeline. It demonstrates how IBM Bob can be used to design AI-native developer tooling and autonomous resilience testing workflows.