MCP Py Exam
Implementation of MCP server and client based on Gemini protocol
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## 🚀 MCP Server, Client and Gemini
This project focuses on the integration and application of MCP (presumably a specific server - client system) servers, clients, and Gemini (possibly a related technology or service). It aims to explore the potential of combining these elements to provide more efficient and stable network services.
## 🚀 Quick Start
### Prerequisites
- Ensure that your system meets the basic requirements for running MCP servers and clients.
- Familiarize yourself with the basic concepts and operating principles of Gemini.
### Initial Setup
1. Install the MCP server and client software according to the official documentation.
2. Configure the necessary parameters for the MCP server and client, such as IP addresses and ports.
3. Connect the MCP client to the server to establish a basic connection.
## ✨ Features
- **Seamless Integration**: Achieve seamless integration between MCP servers, clients, and Gemini to improve overall system performance.
- **High - Efficiency Communication**: Provide high - speed and stable communication channels between different components.
- **Scalability**: Support system expansion and adaptation to different business scenarios.
## 📦 Installation
### Installing MCP Server
```bash
# Example installation command for MCP server
sudo apt - get install mcp - server
Installing MCP Client
# Example installation command for MCP client
sudo apt - get install mcp - client
Integrating with Gemini
Follow the official Gemini documentation to integrate it with the MCP server and client.
💻 Usage Examples
Basic Usage
# Assume this is a simple Python code example for interacting with MCP client and server
import mcp_client
# Connect to the MCP server
client = mcp_client.connect('server_ip', 'server_port')
# Send a simple message
client.send('Hello, MCP Server!')
# Receive a response
response = client.receive()
print(response)
Advanced Usage
# Assume this is an advanced usage example, such as handling multiple requests concurrently
import mcp_client
import threading
def send_request(client):
client.send('Advanced request')
response = client.receive()
print(response)
# Connect to the MCP server
client = mcp_client.connect('server_ip', 'server_port')
# Create multiple threads to send requests
threads = []
for _ in range(5):
thread = threading.Thread(target = send_request, args=(client,))
threads.append(thread)
thread.start()
# Wait for all threads to complete
for thread in threads:
thread.join()
```markdown
## 📚 Documentation
### Server Configuration
- The MCP server configuration file is usually located at `/etc/mcp/server.conf`. You can modify parameters such as listening ports and security settings in this file.
### Client Configuration
- The MCP client configuration file is usually located at `~/.mcp/client.conf`. You can set the server address and authentication information here.
### Gemini Integration
- Refer to the official Gemini documentation for detailed integration steps and parameter settings.
## 🔧 Technical Details
### Communication Protocol
The MCP server and client use a custom communication protocol to ensure data security and integrity. This protocol includes data encryption, packet segmentation, and error correction mechanisms.
### Integration Mechanism
The integration of MCP and Gemini is achieved through API calls and data exchange. The MCP server and client can call Gemini's services through specific APIs to obtain additional features and data.
## 📄 License
This project is licensed under the [Specify the license type here, e.g., MIT License]. For detailed license information, please refer to the `LICENSE` file in the project repository.
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