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.
rating : 2.5 points
downloads : 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
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
566
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
284
4.5 points