Model Context Protocol (MCP)

Secure interface between AI agents and enterprise systems

Key benefits of MCP:

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Rapid integration using standardized interfaces
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Maximum data security and GDPR compliance
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Flexible connectivity without additional infrastructure
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What is Model Context Protocol (MCP)?

For AI agents to be effectively used in enterprises, they must securely and reliably interact with internal and external systems. The model context protocol (MCP) is an open, standardized interface connecting AI agents seamlessly with existing applications, data sources, and external services. Rather than complex, individual API integrations, MCP offers unified, context-driven access, ensuring complete control over sensitive corporate data, enhancing process transparency, and enabling generative AI as a secure, contextual solution in daily business operations.

Typical use cases for MCP in enterprises

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ERP and CRM integration

Direct integration with systems like Salesforce or HubSpot for intelligent process automation

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External service integration

Directly utilize functions from services such as Google Maps, PayPal, or AWS Storage for efficient workflows and faster processes

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Pre-built code modules

Seamlessly 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.

Our services include:
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Implementation of MCP servers and clients
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Secure connection to existing systems and databases
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Integration with frameworks like LangChain, LlamaIndex, and your own microservices
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Prototyping and controlled incremental rollout - from initial testing to full implementation

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.

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Thomas Howert

BI consultant and AI expert

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Model Context Protocol (MCP) FAQs

What exactly is the model context protocol (MCP)?

MCP is an open standard ensuring secure, controlled, and context-driven communication between AI agents and enterprise systems.

Why do I need MCP if I already have APIs?

Unlike traditional APIs, MCP centrally manages context control, permissions, and logging, reducing administrative effort and enhancing data security.

Can MCP be used with existing frameworks like LangChain?

Yes, MCP integrates seamlessly with modern AI frameworks such as LangChain or LlamaIndex.

Is MCP secure enough for sensitive enterprise data?

Absolutely. MCP supports granular access controls, comprehensive audit logging, and can operate entirely within your internal infrastructure.

How quickly can I get started with MCP?

Initial pilot projects and MVPs can typically be implemented within just a few weeks.