Demonstrates a Model Context Protocol (MCP) server enabling real-time WebSocket communication, context management, and seamless integration of AI tools for enhanced model-to-service interactions.
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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.
mcp-server-demo/
āāā src/
ā āāā server.py # Main MCP server implementation
ā āāā tools/ # Tool implementations
ā ā āāā __init__.py
ā ā āāā basic_tools.py
ā āāā context/ # Context management
ā ā āāā __init__.py
ā ā āāā manager.py
ā āāā utils/ # Utility functions
ā āāā __init__.py
ā āāā helpers.py
āāā examples/ # Example usage
ā āāā client.py
ā āāā tools_demo.py
āāā tests/ # Test cases
ā āāā test_server.py
āāā requirements.txt # Project dependencies
āāā README.md # This file
git clone https://github.com/tian1ll1/mcp-server-demo.git cd mcp-server-demo
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
python src/server.py
python examples/client.py
The MCP server implements the following key components:
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
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