Model Context Protocol (MCP)
Secure interface between AI agents and enterprise systems
Your benefits with MCP:
What is Model Context Protocol (MCP)?
In order for AI agents to be used productively in companies, they must securely and reliably use and control internal and external systems. The Model Context Protocol (MCP) is an open, standardized interface that seamlessly connects AI agents to existing applications, data sources, and external services. Instead of complex individual API integrations, MCP offers uniform, context-driven access. This ensures full control over sensitive company data, processes become more transparent, and generative AI can be safely used as a contextual solution in everyday business life.
Typical use cases for MCP in companies
ERP and CRM integration for AI agents
Direct connection of systems such as Salesforce or HubSpot for intelligent process automation.
Integrate external services
Use features such as Google Maps, PayPal, or AWS Storage directly for more efficient workflows and faster business processes.
Use ready-made code modules
Easily integrate existing modules such as web crawlers, ETL processes, or machine learning models.
Our MCP services for your business
We design and implement individual MCP solutions, adapted to your technical infrastructure, security requirements and strategic goals.
from initial test to full rollout
Start now — a specific MCP use case for your company
Learn how your AI agents can communicate securely and effectively with your systems. Together with you, we create a practice-oriented use case — tailored to your specific requirements and IT environment.
Request a non-binding potential analysis now!
Model Context Protocol (MCP) FAQs
MCP is an open standard for secure, controlled, and contextual communication between AI agents and enterprise systems.
In contrast to traditional APIs, MCP centrally unifies context control, permissions, and logging, which reduces administrative effort and increases data security.
Yes, MCP is easy to integrate with modern AI frameworks such as LangChain or LLamaIndex.
Yes, MCP enables granular access controls, comprehensive audit logging and can be operated entirely in-house.
Initial pilot projects and MVPs can typically be implemented within a few weeks.