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MCP Servers

by piseajay559

AI/MLmodel compositionserverintegrationdeployment

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

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MCP Servers

This repository contains a collection of Model Composition Platform (MCP) servers and services designed to facilitate the integration and deployment of various AI/ML models and services.

Overview

The Model Composition Platform (MCP) is a framework that enables seamless composition and orchestration of different AI/ML models and services. This repository hosts various server implementations that support different functionalities within the MCP ecosystem.

Features

  • Modular Architecture: Each server is designed with a modular approach, making it easy to extend and maintain
  • Service Integration: Simple integration with various AI/ML models and external services
  • Standardized Communication: Consistent API patterns across different server implementations
  • Scalable Design: Built to handle various workloads and use cases

Server Types

  1. Weather Service Server

    • Provides weather-related data and forecasts
    • Supports various weather APIs and data sources
    • Includes alert systems and forecast capabilities

  2. Additional Services (Coming Soon)

    • Model Serving
    • Data Processing
    • API Gateway
    • Authentication Services

Getting Started

Prerequisites

  • Java 17 or higher
  • Maven or Gradle
  • Git

Installation

  1. Clone the repository:
git clone https://github.com/piseajay559/mcp-servers.git
cd mcp-servers
  1. Build the project:
mvn clean install

Usage

Each server in this repository comes with its own specific documentation and setup instructions. Please refer to the individual server directories for detailed information.

Contributing

We welcome contributions! Please feel free to submit pull requests, create issues, or suggest improvements.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For questions and support, please open an issue in the repository.

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