MCP Servers

What is MCP Servers?

This repository contains a collection of Model Composition Platform (MCP) server implementations that facilitate the integration and deployment of various AI/ML models and services. The MCP framework enables seamless composition and orchestration of different AI/ML models and services.

How to use MCP Servers?

Prerequisites include Java 17 or higher, Maven or Gradle, and Git. Clone the repository and build the project with mvn clean install. Each server comes with its own specific documentation and setup instructions in its directory.

Key features of MCP Servers

• Modular architecture for easy extension and maintenance
• Simple integration with AI/ML models and services
• Standardized API patterns across implementations
• Scalable design for various workloads

Use cases of MCP Servers

• Deploying a weather service that provides data, forecasts, and alerts
• Integrating multiple AI/ML models into a single platform
• Building scalable microservices for model serving and data processing

FAQ from MCP Servers

What is the Model Composition Platform (MCP)?

MCP is a framework that enables seamless composition and orchestration of different AI/ML models and services.

What server types are available?

The repository currently includes a Weather Service Server providing weather data, forecasts, and alert systems. Additional services for model serving, data processing, API gateway, and authentication are coming soon.

What are the runtime requirements for MCP Servers?

You need Java 17 or higher, Maven or Gradle, and Git to build and run the servers.

How is the project licensed?

MCP Servers is licensed under the MIT License.