What is an MCP Server?
MCP stands for Model Context Protocol. Behind this technical-sounding term lies an idea that is surprisingly simple—yet extremely powerful: An MCP Server serves as a mediator. It connects AI applications, such as specialized agents or chatbots, with existing enterprise systems—whether they're CRM tools, accounting programs, knowledge databases, or ERP systems.
You can think of the MCP Server as a universal translator that mediates between two worlds: the world of existing business logic and the world of modern AI. It ensures that requests, information, and processes end up exactly where they're needed—no matter how complex a company's internal structure may be.
What makes this special: Communication with internal systems is elevated to a new, more human level. What previously was only possible with technical workarounds, complex code, or deep system understanding is now accessible to everyone through MCP Servers. Instead of thinking in terms of APIs or SQL statements, users can simply express what they want to know or do—the MCP Server handles the rest.
In short: Queries that previously could only be performed by developers with appropriate IT knowledge can now be made by specialist departments thanks to MCP Servers—in natural language, in dialogue with an AI agent that connects everything with the right systems in the background. This not only saves time but also significantly lowers the barrier to smart automation in companies.
MCP Server in Live Testing
To demonstrate how flexible and practical MCP Servers can be in practice, here's a concrete example from everyday testing. In a few steps, it becomes clear how content can be completely controlled via the MCP Server—from creation to usage to deletion.
In the first step, an AI agent is asked if there's an article about ICE train types from Deutsche Bahn in the internal knowledge base (see Screenshot 1). The answer is clear: no corresponding entry exists.
Then, an offer is made to automatically generate such an article, including an overview of ICE 1 to ICE T, and insert it directly into the knowledge base (which is accepted). What would normally be a task for editors or developers happens here within seconds via a dialogue interface—made possible by the MCP Server.
Subsequently, the content is tested in a live query: The AI agent was now able to immediately access the new article and provide a complete, structured answer (see Screenshot 2). The content is thus available—without additional manual approval processes.
The process doesn't have to end here. In the next step, the article is deleted again through the same interface—also controlled via the MCP (see Screenshot 3).
A subsequent query shows: The article has indeed disappeared, and the agent can no longer provide any information.
MCP Servers thus enable content and systems to be centrally controlled in real-time—from creation to provisioning to deletion. Everything runs via a unified infrastructure, without requiring additional interfaces or manual intermediate steps.
What previously would have required multiple departments or tools can now be implemented directly via an AI request—quickly, traceable, and scalable for various application areas.
This makes working with knowledge and processes not only more efficient but also more accessible for teams without specialized technical knowledge.
Why are MCP Servers Relevant for Companies?
The example shown clearly demonstrates how flexibly information can be managed via an MCP Server—regardless of whether it has just been created, is actively being used, or needs to be removed. This very ability to centrally connect and control various systems and content is a decisive advantage for companies.
Many organizations work with a variety of tools, systems, and interfaces. Often, each works well individually—but they're not interconnected. This is precisely where the MCP Server comes in. It creates connections where silos previously existed. And this has practical advantages:
- Efficiency gains: When an AI agent wants to answer a customer question, it needs access to data—whether from the ticketing system, online shop, or knowledge database. The MCP Server provides this data—without the need for manual searching.
- Scalability: The same connection that is used for one application today can be used for ten others tomorrow. MCP Servers work modularly—and grow with the requirements.
- Data sovereignty: Especially in regulated industries, the question of data control plays a major role. With an MCP Server, companies retain control over their data flows—and decide for themselves who has access to what.
The Role of MCP in the AI Era
The hype around AI is real—yet the practical benefit always depends on how well the AI is embedded in the company. This is precisely where the MCP Server becomes the crucial component. Because even the best models bring little if they don't know the relevant contexts.
The MCP Server provides this context—by making data available, translating queries, and prioritizing content. This becomes particularly exciting when companies want to not only generate answers but also automate real processes: orders, internal approvals, team coordination. All of this only works if systems talk to each other. And that's exactly what MCP enables.
Outlook: What's Next?
The digital infrastructure of the future is hybrid. Companies rely on cloud solutions but keep critical components in-house. They combine specialized AI applications with existing tools. And they want to respond flexibly—to new requirements, new channels, new customer expectations.
MCP Servers will become a central building block in this scenario. They are what makes digital sovereignty in companies possible in the first place. A foundation that is both stable and flexible.
And at moinAI?
Infrastructure also plays an increasingly important role for us. Because: An intelligent AI is only as good as the data it can access—and the processes it's integrated into. That's why we're currently working on making MCP Servers available at moinAI as well. For all those who want to scale their AI deployment—with maximum control, without media breaks, and with the full potential of internal systems.
