Model Control Demo
bycsc-0812
0Provides a robust WebSocket-based server for managing AI model requests and responses via the Model Control Protocol.
About
This project implements a WebSocket-based server designed to handle requests and provide responses for AI models using the Model Control Protocol (MCP). It establishes a standardized communication layer, allowing developers to interact with various AI functionalities, such as chat and text completion, through a defined JSON-based protocol. The server offers a flexible and extensible architecture, making it suitable for building and integrating diverse AI applications.
Key Features
- 0 GitHub stars
- Extensible architecture for custom handlers and protocols
- Supports `chat` and `completion` AI actions
- Implements the Model Control Protocol (MCP)
- Standardized JSON formats for requests, responses, errors, and events
- WebSocket-based communication for real-time interaction
Use Cases
- Developing real-time AI applications requiring unified model interaction
- Creating standardized API endpoints for AI services
- Building and testing custom AI model integrations