MCP server development
In your customer’s AI assistant
Connect selected product features to an assistant such as Claude or ChatGPT. Customers connect their account before using the actions you make available.
For software companies with customer accounts and an API. We build MCP connections so customers can check orders, change bookings or find invoices through Claude or ChatGPT. Each connection uses their own login and your product’s permissions.
Connecting the tools you use to run your business? See business integrations.

A customer should not need to know how your API works to use a feature through an assistant. We turn a useful product task into a connection that can find the right record, ask for missing information and return a clear result.
Your customer asks their own assistant. The connection checks the account and your rules before your API reads or changes anything.
Where’s my Harbor Supply order 1042? If it hasn’t shipped, ask them to use the side entrance.
Harbor Supply · Read order1
Order 1042 is packed and ships Thursday. I can change its delivery note.
Update delivery note on order 1042?
Harbor Supply · Update order2
Done. Harbor Supply saved the note: “Use the side entrance.”
Do the same for order 1038.
Harbor Supply · Read order3
Order 1038 left the warehouse yesterday, so Harbor Supply won’t accept a change. Their support team can contact the carrier for you.
The customer signed in to Harbor Supply from their assistant. The connection reads orders from their account and nothing else.
A change waits for the customer to approve it. The assistant then reports the note Harbor Supply saved.
Shipped orders cannot be edited in Harbor Supply, so they cannot be edited through the assistant either.
These are implementation decisions for your team’s review. The protocol supplies a way to call tools; we build and test the checks around the tasks you choose.
Technical references: Web Bot Auth and MCP authorization. Authentication, account mapping and permission checks remain part of the implementation.
Start with a review of one customer task, its API requirements and the clients to test. You receive a written scope and acceptance checks. A build delivers source code, tool definitions, sign-in and permission tests, failure tests, and operating instructions. Optional care covers compatibility checks and updates as your API or clients change.
How we workThe right connection depends on the task and the assistant or browser your customers want to use. We check those requirements with you before choosing the implementation.
MCP or WebMCP: read the buyer’s guideIn your customer’s AI assistant
Connect selected product features to an assistant such as Claude or ChatGPT. Customers connect their account before using the actions you make available.
On your website
Make suitable website actions available to a compatible browser agent. The customer can still use your ordinary forms and interface.
In an agent you control
Connect your own assistant to the product features it needs. This can be a simpler fit when you do not need a shared protocol.
We confirm compatibility for the selected clients. WebMCP requires a compatible browser; a connection does not make your product available in every assistant. Technical references: MCP tools and Chrome’s WebMCP introduction.
An MCP server gives an assistant tools that call your existing REST API. We shape those tools around customer tasks and check inputs and permissions. Your API still enforces its own business rules.
Yes. An OpenAPI specification shows us the operations and data your product offers. We pick what the customer task needs and test it in each assistant you choose. Missing API operations are quoted before the build.
Claude and ChatGPT. We test the tasks in each one you choose, and one codebase can serve both. Extra interfaces and directory submissions are priced separately, and the directory operator decides approval.
Customers connect their own accounts. We build access checks on your permission rules and test sign-in and expired access, even requests for another customer’s data. The assistant asks, and your system decides whether that customer may act.
Yes. Start with lookups, such as finding an order or invoice. Changes to records come later, each with its own confirmation step. The connection offers only the tools you choose.
When the task happens on your website. WebMCP lets browser agents take actions on your pages, while a remote MCP server connects an assistant to your service from anywhere. We pick the one that suits the task and test it in the browser or assistant you use.
Your handoff lists what the connection depends on and how to rerun the task checks. A monthly fee can cover reviews and updates to existing tools. New actions or assistants are quoted separately.
Yes, if they know your API and the assistants well. We can also review their approach or build one part, such as the permission checks, with the split of work written down before we start.
You own the code and the accounts it runs in. We include operating instructions so you can maintain the integration yourself or have another team take over.
A customer task and a short description of your product. API documentation helps but is optional for the first call. The build needs documentation, a test environment and someone who can confirm product rules.
Bring one customer task and we will work through the connection your product needs.