From OpenAPI to MCP server in 5 minutes: how Rivinci works
AI agents can't use your APIs. With Rivinci you turn an OpenAPI spec into a working MCP server, without writing code.
There is a paradox in enterprise AI adoption: you already have APIs — for your ERP, your e-commerce, your CRM — but AI agents can't use them. ChatGPT, Claude and the other assistants cannot call your endpoints unless someone "explains" them in their language.
What MCP is, in one sentence
The Model Context Protocol (MCP) is the open standard that lets AI assistants use external tools: databases, APIs, services. An MCP server is the adapter between your system and any compatible AI agent.
The problem: building one by hand is expensive
Writing an MCP server for your own APIs means mapping every endpoint, handling authentication, deployment, updates. For a software house it's a week of work; for an SME without a technical team it's a wall.
The solution: Rivinci
With Rivinci the flow looks like this:
- Import the OpenAPI spec of your APIs (the one you probably already have).
- Select the endpoints to expose to AI agents.
- Rivinci generates the MCP server and puts it online, with automatic deployment.
No code, no infrastructure to manage. In 5 minutes your APIs become tools an AI agent can use: querying the catalog, checking an order, opening a ticket.
Don't just take our word for it: MicioDev tried it on video — "From OpenAPI to MCP in 5 minutes (NO CODE + automatic deploy)" — you can find it in the What they say about us section.
Who is it for
If your company has documented APIs and you want customers (or your own internal processes) to use them through AI assistants, Rivinci is the shortest path. Contact us for a demo.