MCP server development
Structure and user flows that fit your need.
MCP (Model Context Protocol) is an open standard that connects AI assistants to real systems. We build MCP servers that open your data and operations to assistants — within the limits you draw.
“My team opens three different panels just to find one piece of information.”
We define the scope according to your use case and design each part as a piece of a working whole.
Structure and user flows that fit your need.
Development compatible with how you already work.
Testing and verification under real usage conditions.
Delivery, documentation and continuation plan.
MCP (Model Context Protocol) is an open protocol for connecting AI assistants to external systems. Instead of writing a separate integration for every assistant, you define your system once as an MCP server and every assistant that speaks the protocol uses the same interface.
An MCP server exposes three things: tools the assistant can call, resources it can read, and ready-made prompt templates. The assistant discovers them on its own — what each tool does, what input it needs and what it returns comes from the definitions you write.
In practice: when your team asks “list last month’s pending orders”, the assistant connects to your system, reads the records and answers from real data — not from guesswork.
CM Apps uses the protocol in its own products: we build and operate MCP servers for our services. The setup we deliver runs in our own operation first.
Assistants can reach your systems without MCP too, but then every assistant needs its own integration. MCP reduces that connection to a single standard: when the assistant changes, your server stays the same.
We decide together which systems, which operations and which data the assistant may reach. For most companies the right starting point is read-only.
Every operation becomes a tool clear enough that the assistant cannot misuse it: what it does, what it needs, its limits and what it returns on failure.
The server knows who a request is made for and returns only the records that user is entitled to. Permissions stay identical to the roles in your own system.
We deploy the server to your infrastructure or to an environment we manage, connect it to the assistant and set up versioning, monitoring and auditing.
Query orders, stock and shipments in plain language; reach the information without touring dashboards.
Support sees a customer’s history, invoices and open requests in a single question.
Instead of fixed report screens, ask “show this broken down by that” and get the answer now.
Answers over your documents and records that cite where they came from.
Open your software to your customers’ assistants so your product becomes part of their workflow.
Assistants that work with your own systems: generating test data, reading logs, checking deployment status.
An open protocol used to connect AI assistants to external systems. It gives the assistant and your system a shared language, so you do not need a separate integration for each assistant.
Any client that supports the protocol. MCP is an open standard and the number of applications supporting it keeps growing; the server we build for you is not rewritten when the assistant changes.
The server runs on your side and returns only the data the requested operation needs. We decide together, up front, which fields never leave.
No. If you have a working API we add an MCP layer on top of it and your business logic stays in place.
Writes start switched off, the ones you enable are limited by user permissions, critical ones require human approval, and every call is written to the audit log.
It depends on scope: a small read-only server comes up quickly, while multi-system setups with write access need analysis. We clarify the scope in the first conversation and plan it together.
You can come with an idea or an existing system. Let’s start with these questions and map out an actionable roadmap.
Let’s plan together