Let your AI assistant
talk to your systems.

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.

Needs analysis · Design · Development
CM APPS / SOLUTION WORKSHOP
YOUR NEED
My team opens three different panels just to find one piece of information.
THE SOLUTION WE BUILD

A secure MCP server for your assistant

01Define systems and permissions
02Build the tools
03Connect the assistant
A sample flow shaped around your project
WHAT DO YOU WANT TO DO?

Your need is
a starting point.

THE BUILDING BLOCKS OF YOUR IDEA

What do
we build?

We define the scope according to your use case and design each part as a piece of a working whole.

01

MCP server development

Structure and user flows that fit your need.

02

Tool and permission design

Development compatible with how you already work.

03

Authentication & audit log

Testing and verification under real usage conditions.

04

Deployment, versioning and maintenance

Delivery, documentation and continuation plan.

WHAT IS MCP?

A shared language between
assistants and your systems.

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.

HOW IT WORKS

Connection in
four steps.

  1. 01

    Scope and permissions

    We decide together which systems, which operations and which data the assistant may reach. For most companies the right starting point is read-only.

  2. 02

    Tool design

    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.

  3. 03

    Identity and authorization

    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.

  4. 04

    Connection and maintenance

    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.

WHAT WE BUILD

Inside
the server.

  • MCP serverA server that opens your database, API or admin panel to the assistant; it runs on your own infrastructure or in an environment we manage.
  • Tool and schema designTool definitions with required fields, value limits and readable error messages — correct usage is enforced by design.
  • AuthenticationSign-in through OAuth or your corporate identity provider; every call carries the user it is made for.
  • Permission boundariesReads separated from writes, operations that require approval, and risky operations switched off entirely.
  • Audit logWhich tool was called, when, for whom and with which parameters — a record you can account for afterwards.
  • Opening an existing APIIf you already have a working API we do not rewrite it; we add an MCP layer on top and your business logic stays where it is.
HOW YOU USE IT

In your team’s
daily work.

Operations assistant

Query orders, stock and shipments in plain language; reach the information without touring dashboards.

Customer service

Support sees a customer’s history, invoices and open requests in a single question.

Reporting and analysis

Instead of fixed report screens, ask “show this broken down by that” and get the answer now.

Internal knowledge

Answers over your documents and records that cite where they came from.

MCP support in your product

Open your software to your customers’ assistants so your product becomes part of their workflow.

Developer tooling

Assistants that work with your own systems: generating test data, reading logs, checking deployment status.

SECURITY AND PERMISSIONS

The assistant sees only
what you allow.

  • Read-only firstThe first version exposes reads only; writes are added once they are measured and trusted.
  • Per-user authorizationThe assistant can never see more than the connected user is entitled to.
  • Operations that need approvalMoney, contracts and deletions are bound to human approval.
  • Data boundariesWhich fields never leave your system (personal data, secrets, keys) is decided up front.
QUESTIONS ON YOUR MIND

Before we start.

What exactly is MCP?+

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.

Which assistants does it work with?+

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.

Does our data go to the AI provider?+

The server runs on your side and returns only the data the requested operation needs. We decide together, up front, which fields never leave.

We already have an API — does it get rewritten?+

No. If you have a working API we add an MCP layer on top of it and your business logic stays in place.

What if the assistant performs a wrong operation?+

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.

How long does it take to set up?+

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.

IN OUR FIRST MEETING

First, let us
listen to you.

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
  1. 01

    Which systems should the assistant reach?

  2. 02

    Which operations are reads and which are writes?

  3. 03

    Which user may use which tool?

PART OF A BIGGER PROJECT?

Areas of expertise that work together.

AI & automationAPI & integrationCloud & DevOps
NEXT STEP

Tell us about your business.
Let’s build it together.

Let’s talk about your project