AI is becoming a new front door to software
Your customers are already asking ChatGPT, Claude, Copilot, and Gemini to help with daily work. They do not want another place to copy and paste data. They want to say, “Show me overdue orders,” “Prepare a reply to this customer,” or “Create next week’s bookings”—and have the assistant work with the product they already pay for.
MCP, or Model Context Protocol, is the common way to give an AI assistant controlled access to those product capabilities. Think of it as an AI-ready layer over your existing API, not a replacement for your product.
“Which orders need attention?”
AI to your product
Authorized, current results
What this can unlock
A better customer experience
People can use natural language instead of learning every screen and filter.
More value from your existing API
The product and business rules stay in place; MCP makes selected capabilities understandable to AI.
A presence across major assistants
One well-designed connection can support several compatible AI products, with testing for each target.
Control over what AI may do
Your permissions still apply. Read, prepare, and act can be separated, with approval before important changes.
A practical first version
You do not need to expose your whole product. The strongest first release usually covers one valuable customer job, such as investigating a support issue, checking an order, preparing an invoice, reviewing bookings, or building an account summary.
- 1Choose the job
We identify a frequent request that is valuable and safe enough to launch.
- 2Connect your API
We turn the required product actions into a small, clear MCP connection.
- 3Test and launch
We verify permissions, approvals, results, and behavior in the AI assistants your customers use.
Built by Strata KK
Bring us your product and API. We will find the right first AI experience.
We design, build, secure, test, and if useful operate the MCP connection with you. Start with a conversation—no protocol specification required.
See how Strata can help →