AI assistants are, in fact, often isolated from the rest of the IT infrastructure and lack direct access to corporate data. They can support content writing, summarisation and classification, as well as automate certain repetitive tasks. However, they are largely unable to respond autonomously to requests based on real-time organisational data or to interact with the other digital tools used in day-to-day operations.
Under these circumstances, using corporate data requires several steps, including extracting information from a business management system or CRM, reorganising it and subsequently transferring it to the AI application; a complex process that can create an operational and organisational bottleneck, slowing the transition from experimentation to the effective integration of AI into workflows.
Overcoming this limitation and moving towards a more advanced use of AI requires an evolution of the company’s IT architecture, through the development of a communication channel that enables direct interaction between AI applications and the organisation’s databases, software, applications, devices and services via the MCP protocol.
What is MCP
Acronym for "Model Context Protocol", it is a standard that defines how an artificial intelligence application can connect to external systems, through a dedicated and private interface, called MCP server, which makes available to the AI certain operational functionalities defined according to the tasks and operations it is authorized to perform.
It establishes a protected and structured communication channel between artificial intelligence and the organisation’s digital tools, such as databases, software, applications and devices, allowing the AI to retrieve authorised information and interact with designated business services in accordance with the rules and permissions defined during implementation.
This integration transforms the AI assistant's conversational interface into an advanced tool for data analysis and workflow management, enabled to interact natively with the rest of the company's IT ecosystem.
How it works
The user’s operational capabilities expand, while the experience remains unchanged.
Once the connection between the AI assistant — such as ChatGPT or Claude — and the MCP server has been configured, the user interacts with the artificial intelligence as usual, submitting requests in natural language.
Based on the received request, the AI interprets its meaning, identifies the resources and functionalities available through MCP, retrieves information from authorised sources or invokes the relevant operations and, finally, responds to the user.
How we can help
We design, develop and implement tailored MCP solutions to connect artificial intelligence assistants with databases, management software, systems, digital tools, applications, devices, and services within organizations.
For more information or to assess the integration of AI with your digital infrastructure, please contact us.
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