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licenseNot graded
qualityD
maintenanceSovereign E2E cloud storage for AI agents. MCP-native, zero-knowledge, RGPD-compliant, built in France.
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MemoraМCP
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.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen 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: SharedContext
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.
Related MCP Connectors
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
Cross-session memory for AI agents with a Source Receipt for every memory, over MCP.
Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.
Persistent memory for AI agents to retain, retrieve, and recall conversation context through MCP.
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