What this error means

[Bug] GitHub token authentication error persists after refreshing tokens is a Claude Code failure pattern reported for developers trying to fix persistent github token authentication errors in claude code mcp server after manual token refresh. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Found in anthropics/claude-code GitHub issue #57291 (May 8, 2026). Users report GitHub token auth errors in Claude Code MCP config that persist even after refreshing tokens. Official response advises double-checking MCP server config against docs. Category mapping: Claude Code MCP/auth issues → AI Coding Tools per SKILL.md category rules.

Common causes

  • Found in anthropics/claude-code GitHub issue #57291 (May 8, 2026). Users report GitHub token auth errors in Claude Code MCP config that persist even after refreshing tokens. Official response advises double-checking MCP server config against docs. Category mapping: Claude Code MCP/auth issues → AI Coding Tools per SKILL.md category rules.

Quick fixes

  1. Confirm the exact error signature matches [Bug] GitHub token authentication error persists after refreshing tokens.
  2. Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
  3. Verify the account session, API key, provider settings, and environment where the failing tool is running.

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.