Pippa MCP Memory Manager

Allows configuration through environment variables stored in .env files for settings like API keys, embedding models, and logging levels

Uses OpenAI's embedding models for semantic search of stored memories and connects with OpenAI-compatible AI assistants

Includes a Streamlit-based user interface for browsing, searching, editing, and deleting memories outside of the Cursor environment

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Pippa MCP Memory Manager remember that I prefer using TypeScript over JavaScript for new projects"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.