Be readable to every shopping agent.
Expose your catalog, pricing, inventory and checkout to autonomous shopping agents through a Model Context Protocol layer. When AI agents become the default purchase surface, your store is already a first-class citizen.
API-first was the right answer for 2020. It’s the wrong answer for 2026.
APIs were designed for engineers writing integrations. They assume a developer reading documentation, picking endpoints, and building business logic on top. That’s not how AI agents work.
AI agents query commerce surfaces in natural language and natural intent. They don’t read your API docs. They ask questions like "find me a 60-litre travel backpack with rain cover under $200, ships to Lima within 5 days, available with installments." A traditional REST API doesn’t answer that — an MCP layer does.
Gravity’s Agents product exposes your commerce surfaces through Model Context Protocol — the standard emerging across Claude, ChatGPT, Gemini and the next generation of agent runtimes. Your store becomes queryable in the way agents actually think.
What an MCP-native commerce layer does.
MCP-native catalog discovery
Agents query products by intent, attributes, context. Your catalog answers in MCP-formatted responses.
Real-time pricing & availability
Including installments, BNPL options, regional pricing, multi-currency.
Add-to-cart & checkout primitives
Agents can add to cart, apply codes, choose shipping, complete checkout — all with permission scopes.
Inventory awareness
Agents see real-time stock by warehouse, region, ETA. No stockout surprises.
Identity & permission scopes
Agents act on behalf of authenticated users with explicit permission boundaries.
Compatible with major runtimes
Tested with Claude, ChatGPT (when MCP support ships), Gemini, plus open-source runtimes.
A working MCP playground. Free.
Spin up a sandbox MCP endpoint, connect it to your favorite agent runtime, and start querying a sample commerce catalog. See exactly how an agent interacts with a Gravity-powered store.