01Exposes AI-invocable functions (Tools) for dynamic integration with external services.
02Utilizes modern Python tooling like `uv` and `Hatchling` for fast, reproducible builds and dependency management.
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04Provides contextual data (Resources) to enrich AI model understanding.
05Implements the Model Context Protocol (MCP) for secure and standardized AI interactions.
06Offers reusable AI interaction templates (Prompts) for consistent model behavior.