MCP Memory
MCP Memory is a server that allows MCP clients like Cursor, Claude, and Windsurf to store and recall user-related information such as preferences and behaviors, enhancing conversational continuity and personalization.
Added on:
Created by:
Apr 24 2025
MCP Memory is a server that allows MCP clients like Cursor, Claude, and Windsurf to store and recall user-related information such as preferences and behaviors, enhancing conversational continuity and personalization.
Added on:
Created by:
Apr 24 2025
Maciej Pulikowski
Featured
What is MCP Memory?
MCP Memory functions as a sophisticated MCP server built with Cloudflare infrastructure, utilizing vector search technology to enable MCP clients to remember user-specific data across multiple conversations. It processes and stores text data along with vector embeddings for efficient similarity search, allowing retrieval of relevant memories based on meaning rather than keywords. The system employs Cloudflare Workers, D1 database, Durable Objects, and AI models to manage data storage, retrieval, and processing securely and efficiently. It supports use cases like storing user preferences, behavior tracking, technical documentation, and project notes, providing a seamless experience for users and developers aiming for persistent and contextual AI interactions.
Who will use MCP Memory?
- Developers integrating MCP clients
- AI service providers
- Businesses implementing personalized chatbots
- Researchers working on user memory and context preservation
- Individuals needing secure personal data storage
How to use the MCP Memory?
- Step 1: Deploy MCP Memory on Cloudflare or set it up locally using the provided template
- Step 2: Store user data or memories by sending text inputs to the system for processing
- Step 3: The system generates vector embeddings and stores both the embeddings and original text data
- Step 4: When retrieving data, send a query to MCP Memory which converts it into a vector
- Step 5: The system performs similarity search to find relevant memories and returns the results
MCP Memory's Core Features & Benefits
The Core Features
- Storing user memories with vector embeddings
- Retrieving relevant memories via similarity search
- Persistent storage using Cloudflare D1
- Secure data handling with isolated namespaces
- Real-time memory management with Durable Objects
The Benefits
- Enhanced personalization in MCP interactions
- Efficient and meaning-based memory retrieval
- Secure and scalable infrastructure
- Supports a wide range of data types and use cases
- Open-source and customizable deployment options
MCP Memory's Main Use Cases & Applications
- Creating personalized virtual assistants that remember user preferences
- Building customer support bots with memory of past interactions
- Storing technical documentation for quick retrieval
- Tracking user behaviors for analytics and customization
- Supporting research in AI memory and contextual understanding
FAQs of MCP Memory
Developer
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