Model Context Protocol (MCP) is an open standard that gives AI models structured access to external data sources. This whitepaper covers the protocol, the architecture, and practical use cases for Danish businesses.
What is MCP?
MCP is a protocol developed by Anthropic that standardizes how AI models access external data and tools. Instead of prompting with large amounts of raw data, MCP allows the model to query exactly the data it needs.
The architecture
An MCP server exposes:
- Resources: Data sources the model can read
- Tools: Functions the model can call
- Prompts: Predefined prompt templates
Danish use cases
Public registries
- Statistics Denmark (statistikbanken)
- CVR (Central Business Register)
- BBR (Building and Housing Register)
Business data
- Internal knowledge bases and documentation
- CRM and ERP systems
- Customer service history
Token optimization
By transforming data server-side, you can reduce token consumption by 80-95%. That means lower costs and better results.
Get started
Want to learn more about how MCP can connect your data with AI? Book a conversation with Mikkel Krogsholm.
