What this error means

Unable to connect to API (ConnectionRefused) is a Claude Code failure pattern reported for developers trying to fix persistent api connection refused error in claude code when status page shows no incidents. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #56242 reports persistent ConnectionRefused errors in Claude Code/Cowork client stack. Status page shows no incidents but May 4, 2026 had multiple real incidents affecting Claude API, Claude Code, and Claude Cowork.

Common causes

  • Claude Code shows ConnectionRefused errors while the official status page reports no incidents. This discrepancy is particularly frustrating — users can't tell if it's a local issue or an unreported outage. High search demand from affected developers.
  • GitHub issue #56242 reports persistent ConnectionRefused errors in Claude Code/Cowork client stack. Status page shows no incidents but May 4, 2026 had multiple real incidents affecting Claude API, Claude Code, and Claude Cowork.

Quick fixes

  1. Confirm the exact error signature matches Unable to connect to API (ConnectionRefused).
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. Confirm the local service is running on the expected host and port, then retry the smallest request.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.