MCP Server Demo
by tian1ll1
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.
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What is MCP Server Demo?
The MCP Server Demo is an implementation of a Model Context Protocol (MCP) server, designed to enable communication between AI models and external tools/services while preserving context.
How to use MCP Server Demo?
To use the server, first clone the repository, create a virtual environment, and install the dependencies. Then, start the MCP server using python src/server.py and run the example client with python examples/client.py.
Key features of MCP Server Demo
Basic MCP server implementation
Example tool integrations
Context management demonstration
WebSocket-based real-time communication
Use cases of MCP Server Demo
Facilitating communication between AI models and external tools
Maintaining context awareness in AI model interactions
Integrating AI models with various services
Enabling real-time communication with AI models
FAQ from MCP Server Demo
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for communication between AI models and external tools while maintaining context.
What are the key components of the MCP server?
What are the key components of the MCP server?
The key components are Context Management, Tool Registry, Message Processing, and WebSocket Server.
How do I install the MCP server?
How do I install the MCP server?
Clone the repository, create a virtual environment, and install the dependencies using pip install -r requirements.txt.
How do I start the MCP server?
How do I start the MCP server?
Run the command python src/server.py in your terminal.
How can I contribute to the project?
How can I contribute to the project?
Contributions are welcome! Please feel free to submit a Pull Request.