AI gets
‍sovereign

US hyperscaler AI integrations
Microsoft Copilot for Files, Google Gemini in Drive

Out-of-the-box integration if you already operate on Microsoft 365 or Google Workspace, but the data flows through the same hyperscaler ecosystem - CLOUD Act and FISA-702 apply unchanged. Pricing adds approximately 30 EUR per user per month on top of the base productivity suite.

The AI vendor is locked to the hyperscaler: Copilot only works with Microsoft AI, Gemini only with Google AI - no model choice. Permission inheritance from the underlying storage is opaque, and audit logging for AI access typically lives in a separate admin surface.

Self-built MCP integrations
Nextcloud gateway, custom code

Full control over the implementation, but with significant engineering cost: designing the API surface, building token management, mapping the storage permission model to the MCP layer, instrumenting audit logs for AI-side events, maintaining all of it over time.

Regulated industries also have to demonstrate compliance for the self-built layer, not just the underlying storage. The path works for organizations with dedicated platform-engineering capacity - rarely for mid-sized companies.

SecureCloud
‍MCP-Server

Built on the open Model Context Protocol - compatible with European AI models (Mistral Le Chat, Aleph Alpha) and international ones (Claude, ChatGPT) alike, with free choice of provider. Hosted exclusively in Germany; files never leave SecureCloud infrastructure.

The existing SecureCloud permission model carries over 1:1, with no parallel rights management to maintain. The same audit log that already covers human access also covers AI access. Included without additional cost for every SecureCloud customer; setup in under five minutes.

For regulated industries that need AI productivity without losing data control, the SecureCloud MCP-Server is the only option that combines an open standard, German hosting and zero operational burden.

Eliminate the copy-paste break
‍between AI tools and files

Companies use AI assistants for text, analysis and research - but the moment own files are involved, the manual copy-paste begins. Download the document, upload it to the AI, copy the result back. This media break costs time and creates security risks when sensitive files travel through unsafe intermediate steps.

The SecureCloud MCP-Server eliminates the break entirely: your AI assistant works directly with your SecureCloud storage, with the existing permission model fully preserved.

Our solution:
‍open standard, full sovereignty

The SecureCloud MCP-Server is built on the Model Context Protocol, the open standard for AI tool integration published by Anthropic in November 2024. It works with European AI models (Mistral Le Chat, Aleph Alpha) and international ones (Claude, ChatGPT) alike.

The existing SecureCloud permission model carries over 1:1: the AI sees only what the user could already see through the normal interface. Setup takes minutes, costs nothing extra, and is available immediately for every SecureCloud customer.
‍

• Highest security: Token-based authentication, existing permission model enforced end-to-end for AI access, no file transmission to AI providers and no permanent storage in any AI model. ISO 27001 certification and BSI C5 attestation cover the MCP interface unchanged.
• GDPR compliance: Files never leave the SecureCloud infrastructure in Germany. No CLOUD Act, no FISA, no third-country transfer. AI integration without additional data-processing agreements or contractual workarounds.
• Open standard: Built on the Model Context Protocol from Anthropic. Compatible with European AI models (Mistral, Aleph Alpha) and international ones (Claude, ChatGPT) alike. No proprietary protocol, no vendor lock-in on the AI side.
• Ease of use: Generate an API token in your SecureCloud profile, paste the MCP-Server URL into your AI tool, confirm the connection. Setup in under five minutes. Included at no additional cost for every SecureCloud user.

Data protection and data centers
‍based in Germany!

The MCP-Server runs exclusively in our German data centers, colocated at noris network AG in Nuremberg. The server acts as an interface: files themselves are never transmitted to third parties or stored permanently in any AI model.

All data remains inside the SecureCloud infrastructure. Tenant separation via the existing SecureCloud multi-tenant model, automatic scaling, no user-count limit. GDPR-compliant by construction, no CLOUD Act risk, no FISA exposure - even when AI assistants do the work.