MCP integration for existing websites and systems
An existing website may hold the records your team needs while its AI assistant has no supported way to reach them. We build an MCP interface around selected business operations, so the assistant can request a record or submit an approved change through a documented connection. The existing application keeps control of its data.
A few clients we’ve worked with
What we do
Expose selected website or business API operations to supported AI clients through a custom MCP server with defined permissions and results.
A defined interface for your existing system
MCP provides a common interface for tools and resources. The project defines which operations your application will offer and how they behave when a request is incomplete, unauthorized or repeated.
- Solution
- Integrations
- Connected systems
- MCP + REST API
- Data flow
- A supported AI client calls the MCP server, which validates the request and invokes the permitted application API. Results return to the requesting client. The underlying website or business system owns records, permissions and accepted state changes.
- Map existing operationsInspect the available API and name the records, fields and actions the assistant needs. A lookup and a record update receive separate tool definitions. An older interface may need application work before an AI connection is practical.01
- Build the server boundaryDefine typed inputs, limited responses and server-side authorization for each operation. Check the calling identity against the downstream system’s permissions. Tool descriptions explain permitted use; they do not replace access controls.02
- Handle retries and failuresReturn useful validation errors and distinguish an unsuccessful request from an unknown result. For write operations, design request identifiers or confirmation checks where the application supports them, so a retry does not silently repeat a business action.03
Client reviews
“Norml Studio's professionalism and responsiveness were impressive.”
“They were proactive in suggesting improvements we hadn't considered.”
“They delivered what they said they would, on time.”
“They focused on how to make our daily operations easier, not just on building features for the sake of it.”
“They understood that the app needed to be practical for someone sitting in a car, not just look good on a desktop.”
“Their level of dedication to the success of the project and GoPetZen's business as a whole is unique.”
What we need before building
- A supported application interfaceProvide API documentation, test access and a maintainer who understands the older system. If no suitable interface exists, we assess a bounded API addition before committing to an MCP connection.01
- The intended AI clientsName the client products and where they run. Transport, authentication and workspace restrictions vary; an MCP implementation still needs verification in each supported client.02
- Operating ownershipAgree on hosting, logs, retained data and credential management. Specify which writes need human approval and who responds when the downstream application becomes unavailable.03
How we build and test it
- [Choose the first operation]Step 01
Use a representative record to confirm the application’s request format, permission model and response. Separate missing API capability from missing AI access.
- [Implement and exercise the interface]Step 02
Build the selected MCP tools and test valid inputs, invalid identifiers, unauthorized users and interrupted writes against the application.
- [Verify the client and hand over]Step 03
Run the agreed job in the target client. Deliver operation definitions, deployment notes and a procedure for disabling a tool or revoking access.
The people who do this work.
Meet the whole teamNo account layer between you and them. These are the Norml specialists this work runs through.
Let's chat
“I've spent 10 years working across development and marketing. I started as a developer, but design, SEO and advertising were already part of the job. That taught me to treat a website as one system: the business, the content, the design and the code have to work together. At Norml, I lead the architecture behind our work and stay involved wherever strategy, design, development and search meet.”
Max TymoshynFounder & Architect
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From the Norml blog.
Questions about this implementation
Does an older website need to be rebuilt?
Not necessarily. A maintained API or another supported application interface may be sufficient. We inspect it first. An MCP adapter cannot repair an unsupported backend or expose functionality the application does not have.
Will the server work with every AI assistant?
We commit to named clients verified during the project. MCP support, transports, authentication and administrator controls differ across products and accounts.
How does this differ from custom GPT Actions?
This page covers a reusable MCP server for compatible clients. GPT Actions configuration uses the custom GPT’s supported API action route. If your only requirement is a custom GPT calling an existing API, the narrower Actions setup may be sufficient.
Can the AI change or delete records?
Only actions explicitly included in the scope are exposed. Writes need application permissions, input validation and an agreed review model. Deletion, payments and external messages are excluded unless separately specified and tested.
Give your assistant a defined business interface.
Show us the existing system and one operation your team needs. We will check the available API and outline the smallest supported MCP connection.