mcp-server-demo

The MCP Server Demo is designed to illustrate the functionality and potential of a Model Context Protocol server. It serves as a practical example for developers and engineers interested in implementing MCP technology in their applications. The server demonstrates how to manage and process model context requests efficiently, providing a robust framework for integrating machine learning models with various applications. By leveraging MCP, developers can ensure seamless communication between models and applications, enhancing the overall performance and scalability of their systems.

Features

• Efficient Model Context Management: Handles model context requests with high efficiency, ensuring quick response times.
• Scalability: Designed to scale with increasing demand, making it suitable for large-scale applications.
• Integration Support: Provides easy integration with various machine learning models and applications.
• Robust Framework: Offers a stable and reliable framework for managing model context protocols.
• Developer-Friendly: Includes comprehensive documentation and examples to assist developers in implementation.

Usage with Different Platforms

python

python
import mcp

# Initialize MCP server
server = mcp.Server()

# Start the server
server.start()

# Handle requests
server.handle_requests()

nodejs

javascript
const mcp = require('mcp');

// Initialize MCP server
const server = new mcp.Server();

// Start the server
server.start();

// Handle requests
server.handleRequests();