Schema

Strict Boundary Validation: Schema Definitions

Value Proposition Enable reliable AI workflows through standardized schema validation, improving overall security and data integrity. 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.

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🌐 Explore Related Topics

• Code Mode - Code Mode API documentation
• Configuration - MCP client configuration