MCP Server

What is Model Context Protocol Server?

A containerized Model Context Protocol (MCP) server that enables communication between LLMs and tools through a standardized protocol. It provides both REST API and WebSocket interfaces for tool execution and context management, targeting developers building LLM-powered applications.

How to use Model Context Protocol Server?

Deploy the server using Docker Compose: clone the repository, create tools, context, and data directories, configure a .env file, then run docker-compose up --build. Tools are placed as Python scripts in the tools directory, and the server exposes REST endpoints on port 3000 and a WebSocket at ws://localhost:3000 for real‑time communication.

Key features of Model Context Protocol Server

• Dual runtime environment (Node.js + Python)
• WebSocket support for real‑time updates
• REST API endpoints for tool management and execution
• Context persistence and management via JSON files
• Tool execution isolation inside the container
• Easy deployment with Docker

Use cases of Model Context Protocol Server

• Allow LLMs to invoke Python‑based tools through a standardized API
• Maintain conversation or session context across multiple interactions
• Enable real‑time tool execution and monitoring via WebSocket
• Provide a consistent, containerized interface for integrating tools with any MCP‑compatible LLM