This MCP example demonstrates a client-server setup using the Model Context Protocol. It enables structured communication between different components, facilitating model management and interaction through Python scripts, with environment setup and example interaction scripts included.
This MCP example demonstrates a client-server setup using the Model Context Protocol. It enables structured communication between different components, facilitating model management and interaction through Python scripts, with environment setup and example interaction scripts included.
The provided MCP example showcases how to implement a Model Context Protocol (MCP) client and server in Python, allowing for efficient and structured communication between different parts of a system. It includes sample scripts for setting up the server and client, demonstrating how to exchange model-related information, commands, and responses. The setup uses environment configurations and dependencies outlined in requirements.txt. This example is useful for developers aiming to build or integrate sophisticated model management and interaction systems across distributed environments, supporting flexible and standardized model exchanges.
Who will use Model Context Protocol (MCP) Example?
AI/ML developers
System integrators
Researchers
Distributed system architects
How to use the Model Context Protocol (MCP) Example?
Step1: Clone the repository from GitHub
Step2: Install dependencies with requirements.txt
Step3: Configure environment variables if needed
Step4: Run the server.py to start the MCP server
Step5: Run the client.py to connect and exchange messages
Model Context Protocol (MCP) Example's Core Features & Benefits
The Core Features
MCP client implementation
MCP server setup
Model communication protocols
Sample messages exchange
The Benefits
Standardized communication protocol
Easy to integrate into existing systems
Supports distributed model management
Model Context Protocol (MCP) Example's Main Use Cases & Applications