Steadybit

Find reliability risks in your systems: design, run, and analyze chaos experiments.

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Steadybit is a reliability and chaos engineering platform. This connector lets Claude work with your own Steadybit tenant: explore what you run, design and execute chaos experiments against it, and interpret the results.

**Discover your systems**

Browse environments, teams, and services. Search targets — hosts, containers, Kubernetes workloads, cloud resources — with Steadybit's query language, inspect their attributes, and see which chaos actions your teams are allowed to use.

**Design and run experiments**

Search and read existing experiment designs, draft new ones from a plain-language description, create them from your own templates, and start or cancel runs. Steadybit's AI can suggest experiments tailored to a service and its weak points.

**Understand what happened**

Review past executions step by step, read execution logs, query the metrics recorded during a run, and pull reliability advice and service risk reports. Ask why an experiment failed and get an analysis grounded in the actual run data, not guesswork.

Everything Claude sees is scoped to your own permissions: the connector acts as you, limited to your teams, their environments, and the actions they may run. Read-only tools are annotated as such, and starting an experiment is marked destructive, so Claude asks before injecting a fault.

Tools

  • analyze_execution
  • cancel_execution
  • create_experiment
  • create_experiment_from_template
  • draft_experiment
  • get_action
  • get_execution
  • get_execution_log
  • get_execution_metric
  • get_execution_report
  • get_experiment
  • get_reliability_advice
  • get_service
  • get_service_risk_report
  • get_target
  • get_target_stats
  • get_template
  • list_environments
  • list_execution_metrics
  • list_metric_label_values
  • list_teams
  • list_templates
  • run_experiment
  • search_actions

Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won’t change.

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