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MEMBASE-MCP
一个模型上下文协议(MCP)服务器,可实现与MEMBASE的安全交互
3 years
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membase mcp server
Description
Unibase membase is the first decentralized memory layer for AI agents. It stores historical information, interaction records, and persistent data of agents, ensuring their continuity and traceability.
The membase mcp server enables seamless integration with the membase protocol for decentralized storage. It provides functionality to upload and download memory to/from the Unibase DA network.
Functions
Messages or memoiries can be visit at: https://testnet.hub.membase.io/
- get_conversation_id: Get the current conversation id.
- switch_conversation: Switch to a different conversation.
- save_message: Save a message/memory into the current conversation.
- get_messages: Get the last n messages from the current conversation.
Installation
git clone https://github.com/unibaseio/membase-mcp.git
cd membase-mcp
uv run src/membase_mcp/server.py
Environment variables
- MEMBASE_ACCOUNT: your account to upload
- MEMBASE_CONVERSATION_ID: your conversation id, should be unique, will preload its history
- MEMBASE_ID: your instance id
Configuration on Claude/Windsurf/Cursor/Cline
{
"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"
}
}
}
}
Usage
call functions in llm chat
- get conversation id and switch conversation
- save message and get messages
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Reviews

user_0SHliAsZ
As an avid user of membase-mcp, I can confidently say this tool by unibaseio is a game-changer. It's user-friendly and integrates seamlessly into my workflows. The detailed documentation and community support make it easy to get started, even for beginners. Highly recommended for anyone looking to streamline their processes! For more details, visit their GitHub page.