AI gets
sovereign
The SecureCloud MCP Server connects AI assistants directly to your SecureCloud storage. Search, share and manage files automatically, via natural language - without the file ever leaving sovereign infrastructure.
What is the Model Context Protocol?
The open standard for AI tool integration
The Model Context Protocol (MCP) is an open communication standard, published by Anthropic in November 2024, that lets AI assistants connect to external systems - file storage, databases, applications - through a single uniform interface. Before MCP, every AI vendor built proprietary plug-in formats; switching from one assistant to another meant re-engineering every integration.
MCP solves that fragmentation: any MCP-compatible AI tool can speak to any MCP-compatible server. An MCP server exposes resources (the data the AI can read), tools (the actions the AI can perform on the user's behalf) and prompts (parameterized templates), all wrapped in token-based authentication.
Adoption is moving fast: Claude, ChatGPT, Mistral Le Chat and Aleph Alpha already speak MCP natively. Gartner forecasts that by 2027 more than 50 percent of enterprise software will be operated through AI-driven interfaces.
MCP Serverin comparison
- Hyperscaler ecosystem; CLOUD Act + FISA-702 apply
- Wherever you host it (your responsibility)
- German data centers only; files never leave SecureCloud
- Locked to the vendor (Copilot = Microsoft AI, Gemini = Google AI)
- Free choice, but you build the integration
- Free choice of provider, European and international models
- Proprietary, tied to the hyperscaler
- Custom code you own and maintain
- Open Model Context Protocol (open standard)
- Opaque inheritance from the underlying storage
- You map storage permissions to the MCP layer yourself
- Existing SecureCloud permission model carries over 1:1
- Separate admin surface
- You instrument AI-side audit logs yourself
- Same audit log as human access covers AI access
- Out-of-the-box if already on M365 / Workspace
- Significant engineering cost to build and maintain
- Set up in under 5 minutes; zero operational burden
- Approx. 30 EUR per user / month on top of the suite
- Build plus ongoing maintenance cost
- Part of the SecureCloud platform
- Convenient, but sovereignty risk
- Needs dedicated platform-engineering; rarely fits mid-sized
- Open standard, German hosting, zero operational burden
Sovereign AI integration
for your content cloud
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, and it runs on your existing SecureCloud platform.
Highest Security
GDPR Compliance
Open Standard
User-Friendly
Typical use cases for the MCP Server:AI productivity directly on your SecureCloud storage
Built on the open
Model Context Protocol!
Cloud-native, fully managed,
setup in five minutes
The SecureCloud MCP Server speaks the Model Context Protocol natively. Cloud-native, fully managed, no on-prem operation required from the customer. Authentication runs over personal API tokens that you generate in your SecureCloud profile and revoke at any time - no password is ever handed to the AI.
Available actions span the full SecureCloud feature set: files (search, upload, download, rename, move, delete), folders (create, read, reorganize), shares (links with password protection, expiry dates, upload rights), teams (groups, members, permissions). Multi-tenant by design, automatic scaling, no user limit.
Built for knowledge workers
and regulated industries!
- Knowledge workers: in companies with sensitive data, replacing manual copy-paste with natural-language workflows.
- IT teams: enabling AI productivity without losing data control or building shadow-AI risk.
- Compliance and security teams: managing AI integration risk with one controlled, audit-logged channel.
- Law firms, tax advisories and consultancies: bound by confidentiality obligations and professional secrecy.
- ... and regulated industries: healthcare, financial services, public sector.
Find out more!
Our experts are happy to answer any questions you may have.
Data protection and data centers
based in Germany!
The MCP Server runs exclusively in our German data centers, 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.
Your employees
will love SecureCloud!
Ask your AI to summarize a document and create a share-link for a colleague - in one sentence. Find files in deep folder structures with a single natural-language query. Onboard new team members with one prompt. Time spent on file-related tasks drops by up to 90 percent (typical example: 25-30 minutes manual versus 2-3 minutes via MCP). Productivity that fits how you work, not how the tool was designed.
Our certificates
Cloud
Frequently asked questions
Data based in Germany
Data centers and company headquarters in Germany
Our promise: #nobackdoor
