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This tool offers a robust, production-ready template for developing Model Context Protocol (MCP) servers in Python. It provides a foundational architecture complete with enterprise-grade error handling, structured logging, and graceful shutdown capabilities. Developers can leverage its integrated registry for automatic server management, a flexible YAML-based configuration system with environment variable overrides, and an extensible design that simplifies the creation of custom tools, resources, and prompts, ensuring type safety and a comprehensive developer experience.

Características Principales

• Enhanced Developer Experience with a comprehensive CLI, extensive documentation, example implementations, and full type safety.
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• Extensible Architecture facilitating easy creation of custom tools, resources, and prompts.
• Comprehensive Configuration Management using YAML with environment variable overrides and Pydantic validation.
• Automatic server registration, heartbeats, and deregistration through robust Registry Integration.
• Production-Ready architecture with enterprise-grade error handling, structured logging, and graceful shutdown.

Casos de Uso

• Rapidly develop new Model Context Protocol (MCP) servers with a standardized, production-ready base.
• Implement custom AI agents or services that require structured communication via the MCP specification.
• Create standardized and scalable microservices that adhere to the Model Context Protocol for enterprise applications.