Build with AI
Use the app builder you already prefer. Inttegro MCP gives its agent the product and API context it needs; a protected server function or backend performs the live commerce work.
Base44
Give Base44 Inttegro context through MCP, then let protected backend functions perform the live commerce work.
- Best for
- Turning an operational idea into a working business app
- Runs from
- Base44 backend functions and Secrets
Bolt
Let Bolt plan with Inttegro through MCP, then keep API calls and credentials in server functions.
- Best for
- Prompt-led web applications with a connected backend
- Runs from
- Server functions or a separate trusted backend
Google AI Studio
Turn an Inttegro brief into a working experience with Gemini, keeping every live commerce call behind a protected server boundary.
- Best for
- Building and publishing an app from a conversation with Gemini
- Runs from
- AI Studio server or a separate backend for Android
Lovable
Use MCP to shape the build, then call Inttegro from a Lovable Cloud Edge Function with the key stored as a secret.
- Best for
- Web applications built visually and refined through chat
- Runs from
- Lovable Cloud Edge Functions or a separate trusted backend
Replit
Connect Inttegro MCP to Replit Agent and build the live integration in the same server-side workspace.
- Best for
- A complete application, backend, and deployment in one workspace
- Runs from
- Replit server with Secrets
v0
Let v0 plan with Inttegro through MCP, build the live integration in server code, and publish it to Vercel.
- Best for
- Turning a business idea into a polished app through conversation
- Runs from
- Next.js server code deployed to Vercel
The safe shape is the same
Whichever builder you choose, keep this boundary intact:
- Plan with MCP. Let the builder inspect Inttegro tools and call
design_integrationbefore it writes commerce code. - Call Inttegro from the server. Store
INTTEGRO_API_KEYin the platform's secret facility and use it only from trusted code. - Keep the browser untrusted. The browser can ask your backend to start a workflow, but it must never receive the Inttegro API key.
- Verify the result. Run
check_integration_readiness, then test with disposable data before opening the experience to customers.
MCP is the planning and assistance layer. Your deployed application still uses the Inttegro API from trusted infrastructure. An MCP connection available to a builder does not automatically become part of the published application.
Start with a useful brief
Connect Inttegro MCP using the platform guide above, then give the builder this prompt:
Use Inttegro's design_integration tool before writing code. Ask me only for
the business decisions that are still missing. Recommend the smallest complete
path, keep the Inttegro API key in the platform's secret store, and put every
Inttegro API call behind trusted server code. Then implement the plan and run
check_integration_readiness. Never ask me to paste a secret into chat or
place one in browser code.
This gives the builder a business outcome, a security boundary, and a finish line. It does not ask the model to improvise an API contract.
What is ready today
- Base44, Bolt, Replit, and v0 can connect to Inttegro as a custom remote MCP server while building.
- Lovable can use MCP while creating the application, then use a Cloud Secret and Edge Function for live Inttegro requests.
- Google AI Studio can use Inttegro MCP in its Agents playground to prepare the plan, then Build mode can implement that brief with live requests kept in its protected server runtime.
- Inttegro Studio provides the exact operation and object references the builder should follow when it implements the returned plan.
There is not yet a one-click Inttegro listing or starter for every builder. The guides above use each platform's supported connection and secret-storage path and say explicitly where a manual step remains.