mcp

The Model Context Protocol (MCP) server is a lightweight and efficient server designed to facilitate communication between different components of a machine learning model ecosystem. It is particularly useful for managing and orchestrating tasks in environments where multiple models or services need to interact seamlessly. The MCP server is deployed on Docker, making it easy to set up and scale across different environments. By running on port 8000, it ensures a standardized entry point for client applications and services to connect and communicate. This server is ideal for developers and data scientists looking to streamline their model deployment and management processes.

Features

• Lightweight and efficient communication protocol.
• Docker deployment for easy scalability and management.
• Standardized port (8000) for consistent access.
• Facilitates seamless interaction between multiple models and services.
• Ideal for orchestrating tasks in machine learning ecosystems.

Usage with Different Platforms

docker

docker
version: '3'
services:
  mcp_server:
    image: mcp_server_image
    ports:
      - '8000:8000'
    networks:
      - mcp_network
networks:
  mcp_network:
    driver: bridge