What this error means

GitHub MCP Server: 2 hours to fail authentication; no progress indicator during auth process is a Claude Code failure pattern reported for developers trying to fix extremely slow github oauth authentication flow in claude code mcp server; user spends hours with no feedback when auth fails.. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Issue #19281 (2026-01-19) in anthropic/claude-code: 'Spent 2 hours trying to configure the GitHub MCP server with Claude Code, ultimately unsuccessfully. The experience was frustrating.' Users need to understand why GitHub OAuth takes 2 hours to fail and how to expedite diagnosis. Category: AI Coding Tools (approved) — MCP-related auth failures fall under Claude Code ecosystem.

Common causes

  • Issue #19281 (2026-01-19) in anthropic/claude-code: 'Spent 2 hours trying to configure the GitHub MCP server with Claude Code, ultimately unsuccessfully. The experience was frustrating.' Users need to understand why GitHub OAuth takes 2 hours to fail and how to expedite diagnosis. Category: AI Coding Tools (approved) — MCP-related auth failures fall under Claude Code ecosystem.

Quick fixes

  1. Confirm the exact error signature matches GitHub MCP Server: 2 hours to fail authentication; no progress indicator during auth process.
  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.