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FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface compone

This project is a Java annotation processing framework and source code generator designed to automate repetitive boilerplate and reduce manual coding errors. It functions as a toolkit for building custom annotation processors that produce source code, metadata, and type definitions during the compilation process. The framework specifically automates the creation of immutable value types with built-in equality and hashing logic, as well as the generation of factory implementations for dependency injection. It also handles the automated production of service provider configuration files to enab