What this error means
[Failed to parse] Project config (shared via .mcp.json) | mcpServers: Does not adhere to MCP server configuration schema is a Claude Code failure pattern reported for developers trying to fix invalid schema validation causing mcp servers with type http configured in .mcp.json to be rejected by claude code. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue #56254 on anthropics/claude-code repo: Claude Code rejects valid MCP server configurations (.mcp.json with type:http URL) with schema validation error. Affects developer workflow integrating external MCP tools. Platform: Windows. Category mapping: Claude Code → AI Coding Tools. Clear error signature with actionable fix demand.
Common causes
- GitHub issue #56254 on anthropics/claude-code repo: Claude Code rejects valid MCP server configurations (.mcp.json with type:http URL) with schema validation error. Affects developer workflow integrating external MCP tools. Platform: Windows. Category mapping: Claude Code → AI Coding Tools. Clear error signature with actionable fix demand.
Quick fixes
- Confirm the exact error signature matches
[Failed to parse] Project config (shared via .mcp.json) | mcpServers: Does not adhere to MCP server configuration schema. - Check the Claude Code account, local tool state, and provider configuration involved in the failing workflow.
- 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
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- 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.