WebX Developments
MCP server developmentTypical timeline · 2–4 weeks

Let AI assistants work with your software, safely.

A Model Context Protocol (MCP) server gives AI assistants like Claude and ChatGPT a secure, controlled way to read your data and take actions in your website, app or internal tools. We design, build, test and deploy it, so your customers and team can get work done just by asking.

OpenAI, Claude & open modelsNode.jsPython
At a glance
01Build once, use everywhereOne server works with Claude, ChatGPT, Cursor and other AI apps that support MCP.
02You stay in controlThe AI can only do what you allow, and every action is logged.
03Tested in real AI appsWe test every tool in the assistants your users rely on.
Sound familiar?

Why businesses come to us for MCP server development.

01

Your product is invisible to AI

People now ask an AI assistant to do the job, and software it cannot connect to gets left out.

Our fix — an MCP server that lets assistants search, read and act in your product.
02

Copying and pasting into chat

Your team pastes orders, tickets and reports into an AI chat by hand to get answers.

Our fix — a direct connection to the data they need, behind a sign-in.
03

Worried about giving AI access

An assistant with too much access could change or expose the wrong data.

Our fix — narrow tools, per-user permissions, confirmation for risky actions and a full log.
What’s included

Everything in our MCP server development service.

You get a fixed quote before any work starts, and anything outside the scope is agreed with you first.

Tool design

We pick the few actions worth exposing and describe them so the AI uses them correctly.

Custom MCP server

Built in TypeScript or Python on top of your existing API or database.

Secure sign-in

OAuth or API keys, so each person only reaches their own data.

Guardrails

Read-only by default, with rate limits and confirmation before anything is changed or deleted.

Testing in real AI apps

Checked in Claude, ChatGPT and the other apps your users rely on before launch.

Deployment & handover

Deployed to your own cloud account, with setup instructions and documentation for your users.

Built with
OpenAI, Claude & open modelsNode.jsPython
How it works

Four simple steps, no surprises.

0130 minutes

Free consultation

We look at the task you want to hand to AI and tell you plainly whether AI is the right tool for it.

021–2 days

Fixed quote & test plan

A written price plus the real questions or documents we will test it on before launch.

031–4 weeks

Build & test

We build it, test it on your real content, and show you what it gets right and wrong.

04Ongoing

Launch & monitor

It goes live with logging and cost limits, and we tune it as real use comes in.

Technologies & tools

What we use for this.

Mainstream, well-supported tools, set up in your name. Follow a link to see when we recommend each one.

OpenAI, Claude & open models

The AI models behind our chatbots, automation and AI features.

Technology · AI

Node.js

JavaScript on the server for APIs, integrations and back ends.

Technology · Back end

Python

Our language for AI, data processing and automation.

Technology · AI & data
Industries

Popular with these industries.

FAQ

MCP server development questions.

If your question is not here, ask it on the free consultation call.

What is an MCP server?

MCP stands for Model Context Protocol, an open standard for connecting AI assistants to outside tools and data. An MCP server is the connector that lets an assistant use your software, a bit like an API made for AI.

Which AI apps will it work with?

Any app that supports MCP, including Claude, ChatGPT, Cursor and VS Code. The same server works with all of them. Support differs a little between apps, so we test in the ones your users rely on.

Is it safe to connect AI to our systems?

Yes, when it is built carefully. Each person signs in, tools start read-only, risky actions need confirmation and everything is logged. The AI only gets the access you approve.

Do we need an API first?

It helps, but it is not required. We can build on an existing API, connect to your database directly or add the endpoints the server needs.

How much does an MCP server cost?

It depends on how many tools it needs and how your system handles sign-in. MCP servers are quoted as custom AI work. Prices are in the pricing table on our AI development page, and you always get a fixed quote before any work starts.

Ready to talk about MCP server development?

Tell us what you need. You will get honest advice and a fixed quote, usually within one business day.

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