Enables secure storage of data for AI agents by leveraging IPFS's distributed file system for content-addressed, verifiable data storage.
Built on Next.js framework, providing the foundation for the MCP server's web interface and API endpoints.
Supports deployment on Vercel's platform, enabling easy hosting and scaling of the MCP server.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MemoraМCPstore my research notes on decentralized AI governance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MemoraМCP
MCP-powered storage for AI agents. IPFS-secured. Verifiable. Sovereign.
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
Related MCP server: AI Agent Template MCP Server
Learn More
To learn more about Next.js, take a look at the following resources:
Next.js Documentation - learn about Next.js features and API.
Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.