What this error means

FailedToOpenSocket error when connecting to HTTP MCP servers via Claude Code CLI; Bun runtime bundled in CLI binary fails at TCP socket level is a Claude Code failure pattern reported for developers trying to resolve claude code cli inability to connect to http-based mcp servers caused by bun runtime tcp socket failure. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #34982 on claude-code repo (2026-03-16). Distinct from OAuth issue — this is a Bun runtime / TCP connectivity failure rather than protocol-level OAuth issue. Different root cause, different audience (CLI users vs IDE extension users). Mapping: Claude Code → AI Coding Tools.

Common causes

  • GitHub issue #34982 on claude-code repo (2026-03-16). Distinct from OAuth issue — this is a Bun runtime / TCP connectivity failure rather than protocol-level OAuth issue. Different root cause, different audience (CLI users vs IDE extension users). Mapping: Claude Code → AI Coding Tools.

Quick fixes

  1. Confirm the exact error signature matches FailedToOpenSocket error when connecting to HTTP MCP servers via Claude Code CLI; Bun runtime bundled in CLI binary fails at TCP socket level.
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

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.