This tutorial explains how to integrate Memobase with the Model Context Protocol (MCP) to provide your AI agents with persistent, long-term memory. By using the Memobase MCP server, your agents can store, retrieve, and search memories, making them stateful and context-aware across conversations.
The Model Context Protocol is an open standard that allows AI assistants to securely connect to external data sources and tools. This enables them to access real-time information, execute functions, and maintain a persistent state, breaking free from the limitations of their training data.
Traditional AI conversations are stateless. The Memobase MCP server changes this by providing:
We recommend using uv
for installation:
Configure your .env
file:
Start the server using uv
:
The server will be available at http://localhost:8050
with an SSE endpoint at /sse
.
Configure your MCP client to connect to the Memobase server. For example, in Cursor, add this to your .cursor/mcp.json
:
The Memobase MCP server exposes three powerful tools to your AI agent.
save_memory
Stores information in long-term memory with semantic indexing.
search_memories
Finds relevant context using natural language queries.
get_user_profiles
Retrieves a comprehensive, structured user profile.
Without Memory:
User: “I prefer Python for backend development.” AI: “That’s great! Python is excellent for backend work.”
Later…
User: “What’s the best language for my new API?” AI: “There are many options, like Python, Node.js, or Go…”
With Memobase MCP:
User: “I prefer Python for backend development.” AI: “Got it. I’ll remember your preference for Python.” (Memory saved: “User prefers Python for backend development”)
Later…
User: “What’s the best language for my new API?” AI: (Searches memories) “Based on your preference for Python, I’d recommend using FastAPI or Django.”
The Memobase MCP server transforms stateless AI interactions into intelligent, context-aware conversations. By providing persistent memory through a standardized protocol, you can build AI applications that learn, remember, and deliver truly personalized experiences.