Q4 Learning
This repository serves as the comprehensive workspace for Quarter 4 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects.
What is Q4 Learning?
Q4 Learning is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this repository serves as the comprehensive workspace for quarter 4 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects.
This repository serves as the comprehensive workspace for Quarter 4 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This repository serves as the comprehensive workspace for Qu
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx q4-learningConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Q4 Learning
The Q4 Learning MCP Server is an educational workspace repository built around Quarter 4 academic projects covering Model Context Protocol, agentic AI, cloud-native development, and prompt engineering. It serves as a hands-on learning environment where students and developers can explore MCP implementations and specification-driven development using Python and TypeScript. This server is useful for anyone studying MCP patterns or looking for reference implementations across agentic AI topics.
Prerequisites
- Python 3.10+ installed on your system
- Node.js 18+ for npx-based execution
- An MCP client such as Claude Desktop or Cursor
- Git to clone the repository
Clone the repository
Clone the Q4 Learning repository from GitHub to your local machine to access the MCP server code and related academic projects.
git clone https://github.com/DanielHashmi/Q4_learning
cd Q4_learningInstall Python dependencies
Install the required Python packages using pip or uv to set up the project environment.
pip install -r requirements.txtExplore project structure
Review the repository layout to find MCP server implementations under the relevant assignment directories. The repository covers topics like MCP, agentic AI, and cloud-native development.
Configure your MCP client
Add the server to your Claude Desktop or other MCP client configuration file, pointing to the main server script.
{
"mcpServers": {
"q4-learning": {
"command": "python",
"args": ["path/to/Q4_learning/server.py"]
}
}
}Restart your MCP client
After saving the configuration, restart Claude Desktop or your MCP client to load the new server and make its tools available.
Q4 Learning Examples
Client configuration
Example Claude Desktop configuration for the Q4 Learning MCP server using a local Python script path.
{
"mcpServers": {
"q4-learning": {
"command": "python",
"args": ["/path/to/Q4_learning/server.py"]
}
}
}Prompts to try
Example prompts to explore the learning content and MCP implementations in this repository.
- "Show me the MCP server implementations in this project"
- "Explain the agentic AI examples in the Q4 learning workspace"
- "What cloud-native patterns are demonstrated in this repository?"Troubleshooting Q4 Learning
Python module not found errors when starting the server
Ensure you have run 'pip install -r requirements.txt' from the project root directory and that your Python environment is activated.
MCP client does not detect the server
Verify that the file path in your configuration points to the actual server script and that Python is available in your system PATH. Restart the MCP client after any configuration changes.
Frequently Asked Questions about Q4 Learning
What is Q4 Learning?
Q4 Learning is a Model Context Protocol (MCP) server that this repository serves as the comprehensive workspace for quarter 4 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Q4 Learning?
Follow the installation instructions on the Q4 Learning GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Q4 Learning?
Q4 Learning works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Q4 Learning free to use?
Yes, Q4 Learning is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Q4 Learning in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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