On November 25, 2024, Anthropic introduced the Model Context Protocol, or MCP, as an open standard for connecting AI assistants to external information and tools. The official announcement marked an important step toward assistants that can work with business context instead of relying only on information copied into a conversation.
Start with a useful business workflow
Consider an internal support assistant that helps employees find an approved procedure and prepare a response. Its usefulness depends on finding the right version, identifying the source and recognizing when the available information does not answer the question. Connecting more systems is valuable only when those connections improve a defined task.
MCP provides a common way for an AI application to communicate with services exposing information or capabilities. The original specification also sets out principles for consent, privacy and user control. A business still needs to decide which documents, applications and operations belong in its integration.
Separate finding information from changing it
We recommend starting with a limited collection of approved material and read-only access. This makes it easier to test whether the assistant retrieves relevant information and respects the intended audience before introducing actions that modify business records.
For workflows involving changes, define the permitted actions individually. Preparing a draft response, sending it to a customer and updating a customer record have different consequences. The MCP guidance for tools recommends human oversight. Our implementation recommendation is to show the proposed change and obtain appropriate approval before a consequential action, with permissions enforced by the connected application.
Evaluate the whole working process
A pilot should include ordinary requests, ambiguous questions and situations where information is missing. Compare the proposed answer with its sources, record corrections and check that users can stop the workflow. Decide who maintains the reference material and who reviews access when responsibilities change.
The business case should consider the complete task: finding information, reviewing the answer and handling exceptions. This helps identify where assistance is useful and where an experienced colleague should remain directly involved. A standard connection does not, by itself, establish the quality of the resulting work.
For employees, the value of a connected assistant is finding a usable answer with its source while respecting the access appropriate to their role. Nuagerie’s AI consulting and integration services can help scope the information to connect, the questions to test and the controls needed around each action. That makes retrieval quality, permissions and review part of the project from the outset.
A practical starting point is one team, one approved document collection and a short set of questions it regularly needs to answer. Describe who maintains those documents and which answers would still require a colleague’s judgment. To discuss a connected AI project, share this outline rather than account credentials or a complete internal document archive. It is enough to begin defining a controlled pilot.
