AI Tools and Agents x Virto Commerce

AI tools and agents range from conversational sales copilots and procurement automation bots to AI-driven search and personalization engines and fully autonomous ordering agents. They need to interact with commerce data and operations — searching products, checking pricing and inventory, creating carts, placing orders — the same way a person would through a storefront, but programmatically. The challenge for any commerce platform is giving these tools a reliable, standardized way to do that, rather than building a custom integration for every AI tool or agent a business wants to connect.

Virto Commerce supports AI integrations through two distinct paths, and which one applies depends on the specific tool or agent.

For AI agents built around the Model Context Protocol (MCP), Virto’s onX adapter provides a standardized connection. The onX adapter implements the Commerce Operations Foundation’s open Order Network eXchange standard, exposing product search, pricing, cart creation, and order placement as tools an AI agent can call directly, without needing to understand Virto’s underlying API structure. Virto was the first commerce platform to go live with this standard.

For AI tools that don’t use MCP or onX — custom or specialized integrations, internal AI systems, or AI-driven analytics and personalization tools — Virto’s API-first architecture allows direct integration the same way any external system would connect, through Virto’s REST APIs.

The integration approach generally covers:

Note: For MCP-compatible agents, see Virto’s dedicated onX integration. For other AI tools, speak with a solution partner to scope the right integration approach.

Virto Commerce integrates with enterprise systems through a combination of APIs, middleware, and integration accelerators — designed to reduce implementation effort while preserving the flexibility that enterprise-specific workflows require.

Key considerations: whether the AI tool or agent supports MCP, what specific operations it needs (search, pricing, ordering, or something else), what permissions and guardrails are needed around AI-initiated actions, and whether real-time inventory and status updates are required.