How Much Does MCP Server Development Cost?

Custom MCP server prices start at $5,000 for a managed entry project at MCPBundles and reach $100,000 to $300,000 for a partner-built, read-only enterprise server, according to Launch Day Advisors. An MCP server is the software that lets AI assistants such as Claude and ChatGPT read your live business data, and act on it if you allow them to.

Most small businesses need something between those two figures: one system, one AI assistant and a few read-only tools. Agency blogs publish their own ranges for that middle, and the ranges disagree with each other. A handful of scope decisions account for the spread, and you can make each of them before you ask anyone for a quote.

An MCP server in business terms

The Model Context Protocol describes itself as an open-source standard for connecting AI applications to external systems. Its documentation lists Claude and ChatGPT among the AI assistants that support it, next to developer tools such as Visual Studio Code and Cursor.

You use the server to decide what those assistants can see and do inside your business. A customer asks Claude whether a product is in stock, or asks ChatGPT what time their booking starts. The assistant calls your server, and your server answers from the live system. Without one, the assistant has your public web pages to work from and no view of stock, bookings or accounts.

The server offers the assistant a set of tools. Each tool is one action, such as looking up an order or checking a date. You pay for each tool, and you pay more for any tool that changes data.

Published prices

We built the table from two sources. MCPBundles sells managed MCP builds. Launch Day Advisors publishes a detailed cost guide for enterprise builds, last updated on 18 September 2026.

Launch Day Advisors writes for SaaS companies, with examples running from 30-person teams to the mid-market. Its in-house figures come in lower, at $80,000 to $240,000 for Level 1, and it puts the calendar time for a Level 1 build at about one quarter.

None of those rows describe a small business connecting one booking system to Claude. The $5,000 figure buys a managed engagement, and MCPBundles sets its scope with each client. The enterprise rows include work a small business will not need. Your server sits somewhere between the two, and you can place it with the drivers below.

The drivers behind the price

Launch Day Advisors lists the cost drivers below for enterprise builds. They work the same way at a smaller budget, so you can use them to scope your own server.

• Read-only or write access. A read-only server lets the assistant search and retrieve. An actions server lets it create, update and delete on the user's behalf, and that step lifts the published range from $100,000 to $300,000 up to $300,000 to $700,000.
• Number of tools. Each tool works like a small public API that a developer implements, validates, tests and documents. The guide argues that ten good tools cost less than thirty mediocre ones, so trim the list before you commission it.
• Authentication. Basic OAuth with a handful of permission scopes costs little. Fine-grained scopes, enterprise single sign-on and a separate login path for each AI client cost more. The auth layer the guide describes runs on OAuth 2.1 with PKCE, with token refresh and revocation on top.
• Number of AI clients. The guide treats each extra client as a partial rebuild. Pick the assistant your customers use and make that one work before you add a second.
• The state of your systems. A clean data model with a documented internal API costs little to expose. A tangled one means you pay the developer to work around it.
• Audit logging. Once the assistant can change data, the guide treats per-call logs and a record of what the agent did as mandatory.

The small-business case

A small-business MCP server does one job. It connects one system, such as a booking calendar or an order database, to one AI assistant, and it reads without writing. A typical tool list fits on an index card:

• Look up order status from an order number and email address.
• Check availability for a date, a table or an appointment slot.
• Search the catalogue and return price and stock for a product.
• Show account details, such as a renewal date or current plan, to a logged-in customer.

The first three tools can work from data you publish on your website. The fourth needs the customer to log in, which brings OAuth into scope and adds cost.

That scope sits a long way below the Level 1 range in the table. Launch Day Advisors prices servers for SaaS products with permission taxonomies, token revocation and admin-facing audit views. A server that answers four kinds of question from one database carries a fraction of that work. We price this middle ground from the scope you send us.

Five answers set most of the price, and you can write them down before you speak to a developer:

• The system the assistant reads from, and whether it has a documented API.
• Any tool that changes or deletes data.
• The tool list, written as the questions customers ask you.
• Customer logins, if people need to see their own records.
• The first AI assistant to support, picked from the one your customers use.

Listing it in ChatGPT

A public listing in ChatGPT adds OpenAI's review to the build. The review guidelines and submission guide ask for:

• A verified developer or business identity, since OpenAI rejects plugins published under unverified names.
• A demo account that reviewers can log into with no multi-factor authentication.
• Tool annotations that match each tool's behaviour: read-only, destructive, or reaching the open web.
• A privacy policy that discloses the user data your tools return.
• A server on a public domain, plus at least five positive and three negative test cases.

Each item takes build hours, and OpenAI publishes no review timeline. Approved plugins appear in a directory that ChatGPT shares with Codex. Our ChatGPT app cost guide covers the listed product in more depth, including the interface and the review.

Reasons to skip the build

Hold off if your customers do not ask AI assistants about your business, or if the data they want changes a few times a year. A clear FAQ page handles those questions for less money, and a documented API serves partners who want to connect to you.

Pick a different tool if your goal is moving data between your own systems on a schedule. You want automation for that job, and our comparison of n8n and custom code covers the choice.

You have a case for a server when your staff answer the same customer questions many times a day by looking something up in one system. With a server, the customer's own assistant does that lookup.

We build MCP servers as part of our custom software and AI and automation work. Send us the system and the permissions you have in mind, and we will scope the build with you before anyone writes code.