- Step1: Clone the repository from GitHub
- Step2: Set up a Python virtual environment
- Step3: Install dependencies using pip
- Step4: Run the MCP server locally with 'mcp dev mcp-server.py'
- Step5: Connect your AI IDE or tool to the server via configured mcp.json or CLI
- Step6: Use the exposed tools like 'add' or 'getApiKey' through the IDE interface or API calls