Overview

Title

Membase MCP Server

How to Use

• Clone the repository and run the server using uv.
• Configure environment variables (MEMBASE_ACCOUNT, MEMBASE_CONVERSATION_ID, MEMBASE_ID).
• Integrate with AI platforms (Claude, Windsurf, Cursor, Cline) via JSON configuration.
• Call functions directly in LLM chat to manage conversations and memories.

Key Features

• Decentralized Storage: Seamlessly integrates with the Membase protocol for AI agent memory.
• Conversation Management: Switch between conversations and retrieve historical messages.
• Memory Persistence: Save and load messages/memories to ensure continuity.

Use Cases

• AI Agent Continuity: Maintains interaction history for AI agents.
• Traceable Conversations: Enables tracking and retrieval of past exchanges.
• Decentralized AI Data Storage: Stores agent memories securely on the Unibase DA network.