📁 Subsystem Deep Dive

utils/mcp/

📁 utils/mcp/ 📄 5 files

Tutorial: mcp

This project provides a robust input validation system designed to bridge the gap between strict technical schemas and messy human input. It features a smart validation pipeline that can verify standard data types while also using AI-powered parsing to convert natural language (like "next Monday") into precise machine-readable formats.

flowchart TD A0["Natural Language Date/Time Parsing"] A1["Schema-Based Input Validation"] A2["Hybrid Asynchronous Validation"] A3["Enum and Selection Normalization"] A2 -->|"Delegates core validation"| A1 A2 -->|"Requests AI parsing"| A0 A1 -->|"Retrieves allowed values"| A3

Chapters

  1. Hybrid Asynchronous Validation
  2. Schema-Based Input Validation
  3. Natural Language Date/Time Parsing
  4. Enum and Selection Normalization

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Files in this section

01_hybrid_asynchronous_validation.md
Chapter 1: Hybrid Asynchronous Validation
Welcome to the mcp project tutorial! We are going to build a system that feels magical to use.
02_schema_based_input_validation.md
Chapter 2: Schema-Based Input Validation
Welcome back!
03_natural_language_date_time_parsing.md
Chapter 3: Natural Language Date/Time Parsing
Welcome back!
04_enum_and_selection_normalization.md
Chapter 4: Enum and Selection Normalization
Welcome to the final chapter of our tutorial!