Frequently Asked Questions

Q: What is the primary function of the MCP Memory Server?
A: The MCP Memory Server is designed to provide long-term memory capabilities for AI assistants, enabling efficient storage and retrieval of data using PostgreSQL and pgvector.

Q: How does the MCP Memory Server enhance AI assistants?
A: It allows AI assistants to retain and recall past interactions, learnings, and experiences, thereby improving their contextual understanding and response accuracy.

Q: What are the key features of the MCP Memory Server?
A: Key features include vector similarity search with PostgreSQL and pgvector, automatic embedding generation using BERT, RESTful API for memory operations, tag-based memory retrieval, and real-time updates with Server-Sent Events (SSE).

Q: Can the MCP Memory Server be integrated with other platforms?
A: Yes, it provides a RESTful API for seamless integration and is compatible with the Cursor MCP protocol, allowing for easy integration with existing systems.

Q: How does the MCP Memory Server handle data retrieval?
A: It uses semantic search capabilities to retrieve data based on meaning rather than keywords, enhancing the accuracy and relevance of search results.