MCP Server Demo

This project demonstrates the implementation of a Model Context Protocol (MCP) server. MCP is a protocol designed to facilitate communication between AI models and external tools/services while maintaining context awareness.

Features

Basic MCP server implementation
Example tool integrations
Context management demonstration
WebSocket-based real-time communication
Simple client example

Project Structure

mcp-server-demo/
├── src/
│   ├── server.py           # Main MCP server implementation
│   ├── tools/              # Tool implementations
│   │   ├── __init__.py
│   │   └── basic_tools.py
│   ├── context/            # Context management
│   │   ├── __init__.py
│   │   └── manager.py
│   └── utils/             # Utility functions
│       ├── __init__.py
│       └── helpers.py
├── examples/              # Example usage
│   ├── client.py
│   └── tools_demo.py
├── tests/                # Test cases
│   └── test_server.py
├── requirements.txt      # Project dependencies
└── README.md            # This file

Installation

Clone the repository:

git clone https://github.com/tian1ll1/mcp-server-demo.git
cd mcp-server-demo

Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Install dependencies:

pip install -r requirements.txt

Usage

Start the MCP server:

python src/server.py

Run the example client:

python examples/client.py

How It Works

The MCP server implements the following key components:

Context Management: Maintains conversation history and relevant context for each session.
Tool Registry: Manages available tools and their specifications.
Message Processing: Handles incoming messages and routes them to appropriate tools.
WebSocket Server: Provides real-time communication with clients.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.