mcp-testing
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This document provides an overview and usage instructions for a Model Context Protocol (MCP) server, which facilitates communication between models and clients using the MCP technology.
The Model Context Protocol (MCP) server is designed to streamline the interaction between machine learning models and client applications. By leveraging the MCP technology, the server ensures efficient and secure communication, allowing for seamless integration and deployment of models in various environments. The server supports multiple modes of operation, including standard and debug modes, to cater to different development and production needs. Additionally, it can be integrated with FastAPI to provide a robust API interface with MCP support.
Features
- Efficient Communication: Ensures fast and reliable data exchange between models and clients.
- Debug Mode: Offers a debug mode for developers to troubleshoot and optimize model interactions.
- FastAPI Integration: Supports integration with FastAPI for building scalable and high-performance APIs.
- Secure Protocol: Utilizes secure protocols to protect data integrity and confidentiality.
- Flexible Deployment: Can be deployed in various environments to suit different application requirements.
