MCP Memory Server

What is MCP Memory Server?

MCP Memory Server implements long-term memory capabilities for AI assistants using mem0 principles, powered by PostgreSQL with pgvector for efficient vector similarity search. It provides RESTful endpoints for memory operations, semantic search, and real-time updates via Server-Sent Events.

How to use MCP Memory Server?

Install dependencies with npm install, configure the DATABASE_URL environment variable (requires PostgreSQL 14+ with pgvector extension and Node.js 16+), run npm run prisma:migrate to initialize the database, then start with npm start. To use with Cursor, add the server to ~/.cursor/mcp.json with the node command pointing to src/server.js. Invoke memory operations via HTTP endpoints (POST /mcp/v1/memory, GET /mcp/v1/memory/search, etc.).

Key features of MCP Memory Server

• PostgreSQL with pgvector for vector similarity search
• Automatic embedding generation using BERT
• RESTful API for memory operations (create, search, list)
• Support for different memory types (learnings, experiences, etc.)
• Tag-based memory retrieval and confidence scoring
• Server-Sent Events (SSE) for real-time updates
• Cursor MCP protocol compatible

Use cases of MCP Memory Server

• Persisting AI assistant learnings across conversations
• Semantic search over stored knowledge with vector similarity
• Real-time monitoring of memory creation and updates
• Organizing memories by type, source, and tags for structured retrieval