Pydantic is a Python library for data validation and settings management using Python type annotations.
Why this server?
Integrates with Logfire, a Pydantic service, to retrieve and analyze application telemetry data through the Logfire APIs using read tokens from the Logfire project settings.
Why this server?
Uses Pydantic for configuration validation and data modeling in SignNow API interactions
Why this server?
Uses Pydantic models to structure and validate IP geolocation data, including location, organization, and country details returned from the ipinfo.io API.
Why this server?
Uses Pydantic for type validation of URL parameters and request configuration
Why this server?
Uses Pydantic models for all requests and responses in the virtual filesystem operations, providing type-safe data validation and serialization.
Why this server?
Utilizes Pydantic for type-safe data models, parameter validation, and structured data handling when generating Excel templates.
Why this server?
Discovers Pydantic in the development environment to extract API signatures and validate data model usage patterns.
Why this server?
The MCP server leverages Pydantic for data validation and settings management.
Why this server?
Uses Pydantic models from the SDK for structured output validation and data modeling