MCP Server Development

What an MCP server is

An MCP server is a secure bridge between an AI assistant and your business systems. MCP means Model Context Protocol. The server gives the assistant structured access to the databases, stores, CRMs, and internal APIs you choose. Your team can then ask questions about live business data in plain language, and the assistant reads the source you named instead of guessing.

This is not the same as pasting an export into a chat. A paste goes stale, and it often includes columns the assistant should never see. An MCP server exposes specific operations: the questions that are allowed, the records those questions can reach, and the actions, if any, the assistant may take. Everything else stays closed.

You need one when people already ask questions that require live numbers. Sales, orders, inventory, and customer records are the usual cases. You do not need one when the job is to finish a document or run a process. That is an agent or a workflow, and the assistant is only a window onto it.

What the assistant is allowed to do

We write the server around the questions your team actually asks. Each question maps to a query or an API call with a defined shape. The assistant does not receive a raw connection to the database. It receives the operations we agreed, with the fields those operations return.

Read access and write access are separate decisions. Many teams only want answers: what is open, what changed, what is waiting. If the assistant is also allowed to create or update a record, that action is its own operation, with its own permission, and it is not implied by the ability to read.

Role-based access follows the roles you already have. A person should not learn more through the assistant than they can learn in the system itself. Where the data includes personal or health information, we follow GDPR and HIPAA requirements and can deploy the server on your own infrastructure so the data does not leave your environment.

How a server is delivered

The discovery call lists the systems, the questions, and the people who will ask them. We look at the APIs and the data you already expose internally. If a system has no stable way to read the record, we say so. A server cannot invent a clean interface for a system that does not have one.

The proposal is fixed in scope, timeline, and price. The build is tested against your real systems, not a mocked copy that happens to be tidy. Weekly demos show the questions working against live or current data, including the questions the server correctly refuses.

Handover includes the list of operations, who can call them, and how to add a question later without opening the whole database. Monitoring tells you which operations are used and which are failing, so a broken API is visible instead of turning into a confident wrong answer.

What we need from you

We need an owner for each system the server will touch, a description of the questions the team wants to ask, and a test account with the same limits a real user should have. We need to know which actions must stay human.

Bring the awkward questions as well as the easy ones. The server is only useful if it can refuse the ones it should not answer. That refusal is part of the design, and it is part of what we test before launch.