M

Membase MCP

Unibase membase is a decentralized memory layer designed for AI agents, achieving seamless integration with the decentralized storage protocol through the membase mcp server and supporting the upload and download of memory data.
2.5 points
14

What is Membase MCP Server?

Membase MCP Server is a middleware service that provides seamless integration with the Unibase Membase protocol, enabling AI agents to upload and download memory data to the decentralized storage network.

How to use Membase MCP Server?

Through simple API calls, AI agents can save and retrieve conversation history, switch different conversation contexts, and achieve memory persistence and sharing.

Applicable Scenarios

Suitable for AI agents that require long - term memory functions, multi - round dialogue systems, and intelligent applications that need to maintain context consistency across sessions.

Main Features

Conversation ID ManagementGet and switch different conversation IDs, supporting multi - context management
Message StorageSave messages/memories to the current conversation for persistent storage
History RetrievalGet the latest message records from the current conversation

Advantages and Limitations

Advantages
Decentralized storage ensures data security and reliability
Supports multi - conversation context management
Simple and easy - to - use API interface
Limitations
Currently in the test network phase (testnet)
Requires configuration of environment variables to use

How to Use

Clone the Repository
Get the membase - mcp code from GitHub
Enter the Directory
Switch to the project directory
Run the Service
Start the MCP server
Configure Environment Variables
Set the necessary account and conversation ID information

Usage Examples

Save Conversation HistoryAI agents can save conversations with users for subsequent reference
Switch Conversation ContextWhen different topics need to be handled, you can switch to different conversation IDs

Frequently Asked Questions

How to view saved messages?
What are the requirements for the conversation ID?
Which environment variables are required?

Related Resources

GitHub Repository
Project source code
Message Viewing Address
View saved messages
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "membase": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/membase-mcp",
        "run", 
        "src/membase_mcp/server.py"
      ],
      "env": {
        "MEMBASE_ACCOUNT": "your account, 0x...",
        "MEMBASE_CONVERSATION_ID": "your conversation id, should be unique",
        "MEMBASE_ID": "your sub account, any string"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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