Schema
Value Proposition Enforce execution boundaries with rigorous schema validation. Ensure secure isolation and predictable operations at scale. Read the full value proposition.
Schema validation acts as a strict boundary. The server rigorously verifies every input parameter. This ensures data integrity and reliable agent workflows.
The server strictly enforces these schemas at the MCP boundary for secure integrations:
-
Strict Error Responses: Failing tools return a structured
MySQLMcpErrorobject. This empowers autonomous workflows to recover gracefully from failures. -
Deterministic Table Queries: Table queries return
{ exists: boolean, table: string }for missing tables. This enables graceful fallback handling in AI workflows. -
Sandboxed File Operations:
ALLOWED_IO_ROOTSbounds file interactions. This prevents directory traversal and ensures isolated, secure execution. - Safe Parsing & Interoperability: Tools use industry-standard validation libraries for deterministic safe parsing. This ensures enterprise-grade stability, supports graceful type coercion, and preserves robust JSON Schema compatibility.
- Static Schemas: Developers must define all schemas statically as constants at the module level.
- Resilient Environment Validation: The server validates environment variables at startup. This catches misconfigurations before reaching production.
- Distributed Rate Limiting: The server strictly limits HTTP requests and Code Mode executions. It uses Redis synchronization and in-memory fallbacks.
See the repository source for schema definitions. Use the Standard Schema interface (schema['~standard'].validate(input)) to handle validation errors gracefully without exceptions.
For runtime schema introspection, see the Code Mode documentation. It lets you discover API parameters programmatically using the .schema() introspection method.
- Code Mode - Code Mode API documentation
- Configuration - MCP client configuration