MCP Servers
by piseajay559
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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What is MCP Servers?
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.
How to use MCP Servers?
To use the servers, clone the repository, build the project using Maven, and then refer to the individual server directories for detailed documentation and setup instructions. Each server has its own specific usage guidelines.
Key features of MCP Servers
Modular Architecture
Service Integration
Standardized Communication
Scalable Design
Use cases of MCP Servers
Integrating weather data into AI models
Model Serving (Coming Soon)
Data Processing (Coming Soon)
API Gateway (Coming Soon)
FAQ from MCP Servers
What is the MCP?
What is the MCP?
The Model Composition Platform is a framework for composing and orchestrating AI/ML models and services.
What are the prerequisites for using these servers?
What are the prerequisites for using these servers?
You need Java 17 or higher, Maven or Gradle, and Git.
How do I install the servers?
How do I install the servers?
Clone the repository and build the project using Maven or Gradle.
Where can I find specific documentation for each server?
Where can I find specific documentation for each server?
Refer to the individual server directories within the repository.
How can I contribute to the project?
How can I contribute to the project?
Fork the repository, create a feature branch, commit your changes, push to the branch, and open a pull request.