Collection of MCP (Model Composition Platform) servers and services
Overview
What is MCP Servers?
MCP Servers is a collection of servers and services designed for the Model Composition Platform (MCP), facilitating the integration and deployment of various AI/ML models and services.
How to use MCP Servers?
To use MCP Servers, clone the repository, build the project using Maven or Gradle, and refer to the specific server documentation for setup instructions.
Key features of MCP Servers?
- Modular architecture for easy extension and maintenance
- Simple integration with various AI/ML models and external services
- Consistent API patterns across different server implementations
- Scalable design to handle various workloads and use cases
Use cases of MCP Servers?
- Deploying weather-related data services
- Integrating multiple AI/ML models into a cohesive platform
- Building scalable applications that require orchestration of different services
FAQ from MCP Servers?
- What are the prerequisites to run MCP Servers?
You need Java 17 or higher, Maven or Gradle, and Git.
- How can I contribute to MCP Servers?
You can fork the repository, create a feature branch, commit your changes, and submit a pull request.
- Is there documentation available for each server?
Yes, each server comes with its own specific documentation and setup instructions.