Schema

Strict Boundary Validation: Schema Definitions

Value Proposition Drive deterministic and secure AI workflows through strict boundary enforcement. By leveraging robust structural validation and standardized schemas, you enhance security, data integrity, and developer confidence across all operations, ensuring autonomous reliability at scale. Read the full value proposition.

🛡️ Robust Schema Validation

Schema validation is treated as a strict data boundary. Every input parameter is strictly validated, ensuring reliable workflows.

🚧 Strict Zero-Trust Boundary Controls

These schemas are strictly enforced at the MCP boundary for secure integrations:

1. Strict Error Responses: Failing tools return a structured MySQLMcpError object. This empowers autonomous workflows to recover gracefully from failures.
2. Deterministic Table Queries: Table queries return { exists: false, table: string } for missing tables. This enables graceful fallback handling in AI workflows.
3. Sandboxed File Operations: File interactions are bounded using ALLOWED_IO_ROOTS. This prevents directory traversal and ensures isolated, secure execution.
4. Standard Schema Interoperability: Tools use Zod's Standard Schema implementation. This supports aliases and type coercion while preserving JSON Schema compatibility.
5. Static Schemas: All schemas must be defined statically as constants at the module level.
6. Environment Validation: Enforce the validation of process.env at startup using Zod.
7. Distributed Rate Limiting: HTTP requests and Code Mode executions are strictly rate limited, with automatic Redis synchronization and in-memory fallbacks.

🔗 Seamless, Type-Safe Integrations

See the repository source for Zod schemas (src/adapters/mysql/schemas/). It is recommended to 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.