- Step1: Configure the MCP server with your API keys and desired storage mode (cloud or local).
- Step2: Run the server locally using npx or by cloning the repository and executing via Node.js.
- Step3: Integrate the MCP client with your AI application, setting the server endpoint and necessary credentials.
- Step4: Use add_memory to store relevant information and search_memory to retrieve stored memories during interactions.