python

Use Pydantic models for type-hinted data validation, asyncio for I/O-bound operations, and strict typing throughout. This enforces consistency, prevents runtime errors, and enables proper IDE support and type checking with mypy across your SDK codebase.

Apply standardized project structure with Poetry or pip packaging, Pydantic models for data handling, asyncio for concurrent I/O, Ruff and Black for linting, and mypy for type checking. This ensures maintainability and interoperability across MCP server implementations.

Asyncio is essential for I/O-bound operations in SDKs and MCP servers. It enables non-blocking HTTP calls and concurrent task handling, improving performance and responsiveness without blocking threads.

Standardize testing patterns alongside Pydantic models and strict typing, using Poetry or pip for reproducible environments. This reduces configuration drift and ensures tests validate both type safety and async behavior consistently.

Pydantic models provide runtime validation, serialization, and schema generation beyond static typing. For SDKs, Pydantic enforces data integrity at boundaries, catches errors early, and auto-generates documentation and client code.

Python 3.11+ is required. This version enables modern type syntax, improved asyncio performance, and full compatibility with current Pydantic and typing features used in standardized SDK and MCP server patterns.