Model Context

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The Model Context Protocol Server offers a foundational implementation for the Model Context Protocol (MCP), designed to establish a robust server environment for structured data exchange. Built with Python, it provides developers with flexible deployment options, including direct execution via `uv` or containerization with Docker. This server acts as a crucial endpoint for applications and services looking to integrate with and leverage the Model Context Protocol, enabling seamless communication and context sharing within complex systems.

Características Principales

• Python-based Model Context Protocol server
• Flexible deployment with `uv` runtime
• Docker containerization support
• Script-based and URL-based connection configurations
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Casos de Uso

• Developing applications that interact with the Model Context Protocol
• Hosting a local or remote endpoint for Model Context Protocol data
• Integrating contextual data into external systems via MCP