What is an MCP server?
An MCP server is a software component that provides an AI assistant with secure, standardized access to an application and its data via the Model Context Protocol (MCP). Instead of manually copying information or programming complex interfaces, the AI can use the MCP server to directly retrieve data and trigger actions—in natural language.
What is the Model Context Protocol (MCP)?
MCP is an open standard that defines how AI assistants communicate with external software. You can think of it as a universal plug: Any application that provides an MCP server can be connected to any MCP-enabled AI assistant—without the need for individual integration for each tool.
The protocol follows a client-server model:
- The MCP client is the AI assistant (such as Claude, ChatGPT, or Microsoft Copilot).
- The MCP server provides an application’s data and functions.
What exactly does an MCP server do?
An MCP server provides the AI assistant with two things:
- Resources – data from the application that can be read, such as reports, metrics, or lists.
- Tools – Actions that the AI can perform within the scope of its existing permissions, such as creating an entry or assigning a task.
This way, a user can ask the AI a question—and receive the answer directly from the software, without having to click through menus and dashboards.
Why is MCP important?
Before MCP, a separate interface had to be developed for every connection between an AI assistant and a piece of software. That was time-consuming and not very future-proof. The open standard solves this problem:
- No risk of a siloed solution: An MCP server works with all compatible wizards.
- No vendor lock-in: Companies do not commit to a single AI tool.
- Less effort: Once set up, the connection is ready to use immediately.
MCP in the B2B and Industrial Sectors
An MCP server really comes into its own in data-intensive areas such as quality assurance, audit management, and maintenance. Inspection, audit, and defect data can be analyzed on demand, reports can be generated instantly, and tasks can be initiated directly—all within the framework of existing roles and permissions.
The key point here is that an MCP server does not bypass any security rules. It builds on the application’s existing permissions and role system, ensuring that every action remains traceable and audit-proof.
MCP Server and Testify
Testify is setting up its own MCP server, which allows you to connect your inspection, audit, and defect data to your AI assistant. Retrieve analyses, create reports, and trigger tasks—securely, in compliance with the GDPR, and without any programming.
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