MCP Client-Server Seminar Project
About
# MCP Client-Server Seminar Project This project demonstrates a basic client-server MCP implementation using [Python SDK](https://github.com/modelcontextprotocol/python-sdk). ## Prerequisites * Python 3.8 or higher * Git (for cloning the repository) * pip (Python package manager) ## Installation 1. Clone the…
Explore
- Demonstrates basic MCP client-server communication
- Uses the official Python SDK for MCP
- Requires an API key for access
- Simple command-line interface
- Suitable for learning MCP concepts
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Client-Server Seminar ProjectCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Python 3.8 or higher
Git (for cloning the repository)
- pip (Python package manager)
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp client-server seminar project": {
"seminario-client-server-mcp": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}McpServers
{
"seminario-client-server-mcp": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}This project demonstrates a basic client-server MCP implementation using Python SDK.
Prerequisites
Python 3.8 or higher Git (for cloning the repository)- pip (Python package manager)
Installation
1. Clone the repository
git clone https://github.com/DilanUni/seminario-client-server-mcp.git
2. Navigate to the project directory
cd seminario-client-server-mcp
3. Create a virtual environment (recommended)
python -m venv venv
4. Activate the virtual environment:
5. Install dependencies
pip install -r requirements.txt
7. Running the MCP Client
python client.py
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