MCP meets ActiveDB: When AI talks directly to your database
7 min reading time, updated on October 15, 2025
With the integration of the Model Context Protocol (MCP), ActiveDB expands access to company data specifically for AI agents and AI models. MCP enables these models to query and modify data organically and execute actions directly within ActiveDB. Whether in production processes, service platforms, or digital business models—wherever AI needs to act autonomously, MCP provides the standardized interface for efficient and intuitive data management.
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Nach der Lektüre dieses Artikels wissen Sie
Wie das Model Context Protocol (MCP) KI-Agenten befähigt, direkt mit der ActiveDB zu kommunizieren, Daten abzufragen, zu ändern und eigenständig Aktionen auszuführen.
Welche Vorteile eine standardisierte Schnittstelle wie MCP bietet, insbesondere in Bezug auf Effizienz, Flexibilität und Automatisierung von Geschäftsprozessen.
Wie Unternehmen MCP und ActiveDB einsetzen können, um praktische Anwendungen wie automatisierte Bestellprozesse, Produktionsplanung oder datenbasierte Serviceplattformen umzusetzen.
1.
What is MCP and why is it particularly well suited to ActiveDB?
MCP (Model Context Protocol) is a standardized protocol that enables AI models to access external data sources directly—not only to read, but also to write and modify data.
Unlike traditional APIs or SQL queries, MCP connects contextual information and tool endpoints. This allows an AI agent to act directly in the database and make decisions based on current data.
ActiveDB offers ideal conditions here: it is “active” and not only allows data to be queried and modified, but can also respond automatically to events and execute actions – perfect for AI-supported workflows.
AI-supported workflows with ActiveDB
2.
Practical examples: AI agents in action
Practical example 1: Intuitive data queries
With MCP, AI models can communicate with ActiveDB in a natural, “organic” way.
- Example:
In an AI chat, company data is automatically queried and made available. - Advantage:
No complex queries or manual data preparation necessary—the model works directly with the relevant data.
Practical example 2: Automated processes via AI agent
An AI agent can perform complex actions independently via MCP.
- Example:
Based on the product name and inventory levels, the agent automatically triggers orders or adjusts production schedules—without knowing the product beforehand. - Advantage:
Processes become more efficient, and human intervention is only necessary in exceptional cases.
3.
Conclusion: Advantages of MCP in ActiveDB
The integration of MCP into ActiveDB opens up completely new possibilities for companies: AI models become active participants in data processes, reproduce data much more naturally, and can act and make decisions independently. The result is faster, more flexible, and more intelligent handling of company data—exactly where automation and AI deliver the greatest added value.
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