Model Context Protocol Server

what is Model Context Protocol Server?

Model Context Protocol Server is a Dockerized server that facilitates communication between large language models (LLMs) and tools using a standardized protocol, enabling efficient context management and tool execution.

how to use Model Context Protocol Server?

To use the server, clone the repository, set up the necessary directories and environment variables, and run the server using Docker commands. You can interact with the server through REST API and WebSocket interfaces.

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
• Context persistence and management
• Tool execution isolation
• Easy deployment with Docker
• Support for Python-based tools

use cases of Model Context Protocol Server?

1. Integrating various tools with LLMs for enhanced functionality.
2. Managing context for multiple tool executions in real-time.
3. Developing and testing Python-based tools in a controlled environment.

FAQ from Model Context Protocol Server?

• What are the prerequisites for running the server?

You need Docker and Docker Compose installed on your machine.

• How do I run the server in detached mode?

Use the command docker-compose up -d to run the server in the background.

• Can I integrate my own tools?

Yes! You can place your Python tools in the tools directory and they should accept JSON parameters.