mcp

The MCP Server acts as a middleware that enables seamless integration and communication between different model-based applications. It provides a standardized protocol for exchanging data and commands, ensuring that different systems can work together efficiently. The server is particularly useful in environments where multiple models need to interact, such as in simulations, data analysis, and machine learning applications. By using MCP, developers can focus on building their models and applications without worrying about the complexities of communication and data exchange. The server supports various features that enhance its functionality and make it a versatile tool for developers.

Features

• Standardized Protocol: MCP Server uses a standardized protocol to ensure compatibility and interoperability between different systems.
• Scalability: The server is designed to handle multiple connections and large volumes of data, making it suitable for large-scale applications.
• Security: MCP Server includes security features to protect data and ensure secure communication between systems.
• Flexibility: The server can be customized to meet the specific needs of different applications and environments.
• Real-time Communication: MCP Server supports real-time data exchange, enabling timely updates and interactions between systems.

Usage with Different Platforms

Python

python
import mcp

# Initialize MCP server
server = mcp.Server()

# Start the server
server.start()

# Handle incoming connections
server.on_connect(lambda conn: print('New connection:', conn))

# Stop the server
server.stop()

JavaScript

javascript
const MCP = require('mcp');

// Create a new MCP server
const server = new MCP.Server();

// Start the server
server.start();

// Handle incoming connections
server.on('connect', (conn) => {
  console.log('New connection:', conn);
});

// Stop the server
server.stop();