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MCP Memory Service

MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.

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Created by doobidoo2025/03/28
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What is MCP Memory Service?

what is MCP Memory Service? MCP Memory Service is a semantic memory and persistent storage solution designed for use with Claude Desktop. It utilizes ChromaDB and sentence transformers to maintain context across various conversations and instances. how to use MCP Memory Service? To use the service, set up a Python virtual environment, install the required dependencies, and run the server. Connect to it via websocket to store and retrieve memories. key features of MCP Memory Service? Semantic search functionality Persistent storage powered by ChromaDB Automatic database backup Tag-based memory retrieval Debug mode for similarity analysis Memory optimization tools use cases of MCP Memory Service? Long-term conversational context management. Semantic search for relevant information retrieval across conversations. Maintaining structured data storage with automatic backups. FAQ from MCP Memory Service? Can I use MCP Memory Service for multiple users? No, the service is designed for personal use only and does not provide user management. How does the semantic search work? It utilizes sentence transformers to enable context-aware retrieval of stored memories. Is there an automatic backup feature? Yes, the service includes automatic backups that run every 24 hours.

As an MCP (Model Context Protocol) server, MCP Memory Service enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP Memory Service

To use the service, set up a Python virtual environment, install the required dependencies, and run the server. Connect to it via websocket to store and retrieve memories. key features of MCP Memory Service? Semantic search functionality Persistent storage powered by ChromaDB Automatic database backup Tag-based memory retrieval Debug mode for similarity analysis Memory optimization tools use cases of MCP Memory Service? Long-term conversational context management. Semantic search for relevant information retrieval across conversations. Maintaining structured data storage with automatic backups. FAQ from MCP Memory Service? Can I use MCP Memory Service for multiple users? No, the service is designed for personal use only and does not provide user management. How does the semantic search work? It utilizes sentence transformers to enable context-aware retrieval of stored memories. Is there an automatic backup feature? Yes, the service includes automatic backups that run every 24 hours.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP Memory Service can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Memory Service provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.