Model Context Protocol (MCP) Server

what is Model Context Protocol (MCP) Server?

The Model Context Protocol (MCP) Server is a modular server designed for AI services, allowing dynamic service selection and multiple transport options, built with SOLID principles for maintainability and extensibility.

how to use MCP Server?

To use the MCP Server, clone the repository, set up a virtual environment, install dependencies, and configure your environment variables in the .env file. You can run the server in different modes: standard, TCP, or WebSocket.

key features of MCP Server?

• Supports multiple AI services including Claude and OpenAI.
• Dynamic service selection on a per-request basis.
• Multiple transport options: stdio, TCP, and WebSocket.
• JSON-RPC 2.0 compliant interface for predictable interactions.
• Modular architecture for easy extension with new services and transports.
• Real-time response streaming for supported transports.

use cases of MCP Server?

1. Integrating various AI services into applications.
2. Real-time data processing and interaction through WebSocket.
3. Command-line tools for AI service interaction.

FAQ from MCP Server?

• What AI services does MCP Server support?

MCP Server supports Claude, OpenAI, and mock services for testing.

• How can I run the server?

You can run the server in standard, TCP, or WebSocket mode using command line options.

• Is there a way to extend the server?

Yes! You can add new method handlers, AI services, or transports by following the provided guidelines in the documentation.