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Supermemory MCP is a developer-first platform providing a universal memory layer for your AI tools. It allows you to carry context across different applications like ChatGPT and Gemini via a simple API and CLI. Build memory-powered applications or integrate a persistent memory into your existing workflows to make AI interactions more intelligent, personal, and efficient.

5.0
Added
2025-08-02
Price type:
Freemium
Monthly traffic:
48
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Supermemory MCP Overview

Supermemory MCP (Memory Context Provider) is a revolutionary tool designed for developers and power users who want to create a unified, persistent memory layer across all their AI interactions. In a world where every major AI platform is building its own isolated memory, Supermemory MCP offers a portable, universal solution that you control. It empowers you to carry your context—past conversations, project details, research notes—seamlessly between different AI tools and applications, from ChatGPT to custom-built solutions.

Powered by the robust Supermemory API, MCP is fundamentally a developer-first product. It provides the essential building blocks to create a new generation of memory-enabled applications. The core idea is to eliminate the constant need for re-explaining context to AI models, thereby making them significantly more powerful, personal, and efficient. Whether you're building a sophisticated chatbot, a personal coding assistant, or a smart research tool, Supermemory MCP provides the backend to make it context-aware.

How to use Supermemory MCP

Getting started with Supermemory MCP is designed to be straightforward for developers and tech-savvy users:

  1. Generate Your MCP URL: Visit the Supermemory MCP website to generate a unique and secret URL. This URL acts as the key to your personal memory store.
  2. Install the Client: Use the provided command-line instruction to integrate MCP with your preferred client. The command typically looks like npx install-mcp [Your-Secret-URL] --client [client-name]. Supported clients include popular terminals and AI interfaces like Claude, Cursor, and more.
  3. Start Building Memories: Once integrated, your interactions within the supported client will automatically be captured and stored as 'memories' in your universal context store.
  4. Utilize the API: For custom development, you can directly interact with the Supermemory API. The comprehensive documentation guides you on how to create, retrieve, update, and manage memories programmatically, allowing you to build truly memory-powered applications.
  5. Restore Sessions: The platform allows you to restore previous sessions, ensuring that context is never lost, even when you switch devices or applications.

Core Features of Supermemory MCP

  • Universal Memory: Your context is no longer siloed. Carry your memory layer across any integrated AI tool, application, or terminal.
  • Developer-First API: A simple, powerful, and well-documented API designed for ease of integration. It allows developers to build memory-enabled applications with minimal effort.
  • Lightning-Fast Retrieval: The system is highly optimized for speed, ensuring instant memory retrieval so that context is available in real-time during your AI interactions.
  • CLI for Easy Integration: A simple `npx` command allows for quick installation and setup across a variety of developer clients and environments.
  • Persistent and Portable Context: Overcome the inherent limitations of LLM context windows. Supermemory MCP provides a long-term, persistent memory that you own and can take anywhere.
  • Secure and Personal: Each user's memory store is protected by a unique, secret URL, ensuring your data remains private.

Use Cases for Supermemory MCP

The applications for a universal memory layer are vast:

  • Enhanced Chatbots: Build customer service or personal assistant bots that remember every previous conversation, providing a truly continuous and personalized experience.
  • Smarter Coding Assistants: Integrate MCP with your IDE or coding assistant to remember the entire context of a software project, including file structures, function definitions, and past issues.
  • Intelligent Research Tools: Create tools that aggregate and remember information from various sources, maintaining a coherent understanding of a research topic across multiple sessions.
  • Personal Knowledge Management: Use MCP as the backend for a personal AI that learns from your notes, documents, and browsing history, becoming a true digital extension of your own memory.

Advantages of Supermemory MCP

The primary advantage of Supermemory MCP is its ability to create a more intelligent and seamless human-AI collaboration. By providing a persistent memory, it elevates AI from a simple question-and-answer tool to a true partner that understands your history and context. This leads to increased productivity, as less time is spent on repetitive explanations. For developers, it provides a powerful yet simple primitive to innovate and build the next wave of personalized AI applications without having to engineer a complex memory system from scratch.

Pricing and Plans

Supermemory MCP operates on a freemium model, making it accessible for individual developers and scalable for larger applications. The pricing structure is typically as follows:

  • Free Tier: Ideal for personal use, experimentation, and small projects. This tier usually includes a generous number of API calls and memory storage to get started.
  • Developer/Pro Tier: A paid plan for professional developers and more demanding applications, offering higher API rate limits, increased storage capacity, and priority support.
  • Enterprise Tier: Custom plans for businesses that require extensive integration, dedicated infrastructure, advanced security features, and team collaboration capabilities.

For the most current and detailed pricing information, it is recommended to visit the official Supermemory.ai website.

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Latest traffic

Monthly visits48
Avg visit duration0:00
Pages per visit1.21
Bounce rate0.0%

Status

Falling-96.2%vs previous month
Updated at 2026-06-15

Monthly traffic trend

  • 2025-9: 2.0K
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  • 2026-2: 493
  • 2026-3: 2.5K
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  • 2026-5: 48

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