“Is it in your Sofia warehouse?”
A salesperson asks about a product. The assistant checks stock, finds an alternative if needed and prepares an order request.
An answer while the customer is still on the call.Ask your assistant. Get answers from your business.
We connect ChatGPT and Claude to your stock, orders and customer data, so you can get work done inside the conversation.
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One answer means opening four systems.
We answer stock questions all day long.
We copy data just to give it to our assistant.
Deals sit without a next step.
Your team or customer asks in everyday language. The assistant checks your systems and returns a product, report or prepared request.
A salesperson asks about a product. The assistant checks stock, finds an alternative if needed and prepares an order request.
An answer while the customer is still on the call.A customer describes what they need. The assistant returns products from your store with prices, photos and availability, then guides them to order.
Your catalogue reaches customers in the conversation.A manager asks for deals with no activity for 14 days. They get a list and draft messages ready to review.
Clear next steps for your sales team.A colleague gets a joined-up view of orders, payments and open enquiries from the separate systems.
The full context before the next reply.A dispatcher sees delayed shipments and the carrier’s latest update. The assistant drafts a message to the affected customers.
Find problems before the customer calls.An accountant asks for overdue invoices by customer. The assistant returns amounts, due dates and a draft reminder.
Follow up without assembling reports by hand.The assistant checks dates and terms in your booking system. The guest chooses a room and continues to the reservation.
Fewer steps from an enquiry to a stay.A colleague describes the work. The assistant prepares a task with an owner and deadline, then saves it after confirmation.
A conversation ends with work assigned.We connect the systems you already work in to your assistant.
In the assistant you already use.
Your store, warehouse or customer records.
A product, report or prepared task.
Before anything that needs your decision.
The assistant only sees what you allow.
Products, warehouses and current quantities.
After the customer signs in.
Show us the work that slows you down. We choose a first task, build a working version, test it with your team and launch it with agreed support.
The price depends on the systems, tasks and AI applications involved. Development, hosting and maintenance are scoped separately; assistant subscriptions remain a separate expense.
Tell us about the task ↗Your MCP server describes the available functions, checks access, calls the relevant business system and returns a result the assistant can use.
Yes, that can be included in the scope. We check your specific applications, plans and account settings because support and connection methods differ. Sign-in, functions and results are tested in every agreed application.
Yes - we developed an MCP server for an image search and generation platform, used from Claude, ChatGPT and Cursor. We implemented OAuth 2.1 sign-in and a separate quota for each client. We measured results in each assistant and tuned the responses accordingly.
It needs an authorised way to access its data. An API is a defined way for one system to request data or actions from another. If one is unavailable, we assess restricted database access or a prepared export. This affects freshness, functionality and cost.
Access is defined explicitly. OAuth 2.1 lets a user authorise the connection through their account. The server checks permissions on every request and returns only permitted records and fields. We also agree which data is sent to the AI assistant's provider.
Yes, when those actions are in scope and supported by the source system. We separate reading from writing, validate inputs and add a confirmation step. For a sensitive action, the server verifies approval before making the change.
The server returns a clear error for missing access, an exhausted quota or an unavailable source system. Operations that change data use an operation identifier and duplicate-execution checks. A request record makes the outcome traceable.
The MCP connection serves users who have configured it and have access. Public discovery in search engines and AI answers depends on other factors. For that work, see SEO and visibility in AI answers.
Pricing is on request. It depends on functions, data sources, permissions, limits and applications to test. Ongoing costs include hosting, external services and maintenance; AI application subscriptions are separate. If the server uses AI models, we include their cost too.
The server can run on your infrastructure or agreed hosting. Data stays in your source systems; we document what reaches the AI provider and which records are retained, where and for how long. Local servers suit files on an individual computer; remote servers suit shared access.
Yes. A ChatGPT app adds an interactive panel to the MCP server. See ChatGPT app development for the interface, business uses and directory preparation.
After checking system access, we give a timeline for the first useful task. The stages are a working connection, checks in the chosen applications and rollout with your team. Maintenance covers agreed updates and repeat checks when connected systems change. We also offer MCP consulting for an existing integration.
Tell us which task you want to make easier. We will discuss the people, the systems and a useful first release.
ChatGPT and OpenAI are trademarks of OpenAI. Claude is a trademark of Anthropic. Cursor is a trademark of Anysphere. WebSight1 is not affiliated with or endorsed by them.
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