What this error means

Project-scope .mcp.json silently skipped during startup — no servers loaded, no error logged is a Claude Code failure pattern reported for developers trying to fix claude code not loading project-scope .mcp.json mcp servers. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Claude Code 2.1.141 on Linux (Ubuntu) with JetBrains remote-dev terminal. Project .mcp.json with stdio servers is not auto-loaded. Trust dialog accepted, servers listed in enabledMcpjsonServers. Debug log shows no parse error or skip reason. --mcp-config workaround works.

Common causes

  • Project-level .mcp.json is silently ignored during Claude Code startup. Debug log shows MCP loader entry/exit but never enumerates the project file. Only user-scope servers appear. Passing --mcp-config explicitly works.
  • Claude Code 2.1.141 on Linux (Ubuntu) with JetBrains remote-dev terminal. Project .mcp.json with stdio servers is not auto-loaded. Trust dialog accepted, servers listed in enabledMcpjsonServers. Debug log shows no parse error or skip reason. --mcp-config workaround works.

Quick fixes

  1. Confirm the exact error signature matches Project-scope .mcp.json silently skipped during startup — no servers loaded, no error logged.
  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.