MCP Server

The 5-Second Explanation

An MCP server (Model Context Protocol Server) is a standardized interface through which AI applications can access external tools, data sources, and services in a structured way, without each integration having to be programmed individually.

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Why It Matters

MCP technology acts as the invisible bridge between AI applications and the systems they need to interact with.

• System Integration via MCP: To connect an AI application to existing enterprise systems, such as CRM systems, databases, or cloud services, an MCP server is used as a mediation layer. The application calls defined tools through this server instead of communicating directly with the target system.
• Automation via MCP: MCP servers allow AI applications to perform actions in external systems and retrieve information automatically, without manual intervention. An application can, for example, create calendar entries, perform searches, or read files without needing separate implementations for each use case.
• Open Standard with MCP: The Model Context Protocol was released as an open standard. Using this unified protocol increases interoperability between different AI applications and tool providers and significantly reduces integration effort compared to proprietary solutions.

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Technical Background

MCP follows a client-server architecture: the AI application acts as the client and sends requests to one or more MCP servers.

With MCP-enabled integrations, AI applications can be securely and standardly embedded into existing system landscapes, without vendor lock-in and with clearly defined permission boundaries.

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