Guide · Connect your AI agents to InfiPlex
Headless commerce split the storefront from the commerce engine a decade ago, and every serious brand runs that way now. Order management never got the same split. The OMS has always been the engine and the screens, bundled: you log in, click through orders, open the inventory grid, dig through settings. An MCP server is the split. With the InfiPlex MCP server, the engine keeps pulling orders from 130+ channels, routing across every warehouse, syncing inventory, and pushing to your ERP, 3PL, and EDI retailers, while the interface becomes whatever asks: the InfiPlex admin, your code over REST, or Claude, ChatGPT through Codex, and any AI agent your team already uses.
The idea
Headless commerce worked because the storefront and the commerce engine have different owners, different release cycles, and different consumers. The same is true of order management and nobody said so. The engine is a set of operations: pull, route, allocate, ship, sync, push. The screens are one way to reach those operations, designed for one consumer: a person with a browser. Your code was always a second consumer, through the REST API. AI agents are the third, and they need what the first two had: a stable, permissioned surface over every operation, not a chat box bolted to a dashboard.
130+ channel and retailer connections, multi-warehouse routing with zip rules, multichannel inventory sync across all warehouses, NetSuite and QuickBooks Online push, 3PL and EDI, Order Automation. It runs whether or not anyone is looking at it.
For the person who wants a grid, a filter, a bulk action. Nothing changes here. Headless does not mean headless for everyone.
The REST API. Your ERP, WMS, or scripts pull orders, send tracking, set inventory. The same key, the same scopes.
The MCP server. Claude, Codex, Cursor, or an agent you built calls the same operations as typed tools, in the chat window your team already has open.
One key model runs all three. A key with read scopes sees read tools; a key with Write Inventory sees the inventory writes. Revoke the key and every head goes dark at once. That is the property that makes the third head safe to add, and it is why it could not be a bolt-on.
What changes
The engine does the same work either way. What changes is how many places a person has to go to find out what it did, and how long the answer takes.
| Moment | With screens only | Headless, with an agent |
|---|---|---|
| 8:05 AM, what came in | Open InfiPlex, filter by channel, count. Open Amazon Seller Central to check nothing is stuck there. Repeat for Walmart, Temu. | "How many orders came in overnight by channel, and did any channel fail to pull?" One answer, from order_search and log_search, in the chat window that was already open. |
| 9:20 AM, a routing question | Open the order. Open the warehouse list. Open the zip rules. Work out from current inventory what the inventory probably was at 6 AM. | "Why did order 4418211 ship from Reno?" The routing log written at allocation time comes back: zip match, Columbus had zero, Reno had 42, one taken. |
| 11:00 AM, receiving | Open the inventory grid, find each SKU, set each quantity, save each row. Hope the spreadsheet matched. | Paste the cycle count. One preview lists every row. Confirm once. inventory_set_bulk applies it and every channel updates. |
| 2:30 PM, a 3PL client calls | They ask where their order is. You open your instance, find it, read it back to them. | They asked their own assistant on the read-only key you gave them. They never called. |
| 4:00 PM, a price change | Open pricing, find the SKU, change it, trust that it propagates. | "Set HB-2201 to 24.99." The agent reads the current price, the server previews the change, you confirm. Same propagation, with a record of exactly what was approved. |
| 5:45 PM, something failed | Support ticket. Someone reads the log tomorrow. | "Why did the Walmart tracking send fail?" The agent reads the failed log type, the error, the setting behind it, and tells you which one to fix. |
Every row above runs on tools that exist today; the prompts guide lists them with the exact chains. None of it required a new screen.
What it takes
Plenty of platforms will add an AI assistant to their dashboard this year. That is a fourth screen, not a head. A head has to satisfy five conditions, and each one is a design decision in the engine, not a feature on top of it.
Not a curated list of safe questions. Orders, routing explanations, inventory and history, restock, prices, products, warehouses, settings, logs, connection links, and the writes. If the agent cannot reach an operation, a person has to go back to the screen for it, and the head is not a head.
An agent is not logged in as anyone. What it can do has to come from the key it was given: per-area read and write scopes, per-key flags for setting changes and live traffic. One key per person, agent, or client.
On a screen, the confirmation dialog is the UI. Headless, the engine has to provide it: a preview of the exact change and a token bound to those arguments, expiring in ten minutes, required to execute. The write safety guide shows every layer.
Every agent call becomes the same internal API request a REST call would, under the same key, so the log tells you which agent did what without a separate AI audit product.
Multi-tenant SaaS should not funnel every customer's agent traffic through one shared AI service. Each InfiPlex instance serves its own endpoint on its own subdomain, and no model sits in the middle.
Autonomy
The key decides what an agent may do. You decide how much of that it does without asking. Both are yours to set, and both are enforced by the server.
Some teams want an agent that answers questions and nothing more. Some want every change shown in chat before it happens. Some want an agent that receives the morning cycle count, ships the day's orders, reprices against a rule, and never waits for a person. InfiPlex supports all three on the same engine, because autonomy here is two settings rather than a product edition. The first is the key: scopes decide which tools exist for the agent at all, and two flags decide whether it may change settings and whether it may switch live marketplace traffic. The second is your instruction to the agent: tell it to show you every preview and confirm in chat, or tell it to complete the preview-and-confirm flow itself and just report what it did. A fully autonomous agent still runs every channel-visible write through the same preview and argument-bound token, so what it executed is exactly what it previewed, on the record, by key.
Most teams start read-only and widen from there, because it costs nothing to widen later and the first week of questions tells you which writes are worth automating. Teams that already know what they want automated go straight to an autonomous key for that job and keep a confirm-in-chat key for everything else. Either way, revoking a key stops that agent instantly, and narrowing a key is one checkbox. The engine does not care whether the head is a person, a script, or an agent running at 3 AM; it applies the same rules to all of them.
Who this is for
One question replaces five seller centrals. The person who owns Amazon, Walmart, Temu, Shopify, and TikTok Shop stops being the human integration between them.
Every client gets a read-only key and answers their own questions through their own assistant. Onboarding a client's Walmart account is one connect link. See order management for 3PLs.
NetSuite and QuickBooks teams read and set the order fields the push depends on, and ask why an order hit the wrong location, without opening the OMS. See field mapping and order rules.
If you are leaving Rithum, ChannelAdvisor, or a NetSuite connector, you get a headless engine on the way in. Compare on why InfiPlex and the cost of one connection.
Direction
Once the operation is a tool surface, the interesting heads are not chat windows. A scheduled agent on a read-only key that writes the morning brief before anyone logs in. An autonomous agent on a fulfillment key that receives the 3PL's cycle count and ships the day's orders before the warehouse opens. A per-client agent that a 3PL configures once and never touches. An agent that watches the failed log types and drafts the fix. The MCP server is a protocol layer over the REST API, so each new endpoint InfiPlex ships becomes a tool the moment it is live, with nothing to install on your side. What the agent can do grows with the engine; what it is allowed to do stays exactly where you set it.
Frequently asked
An order management system whose operations (pulling orders, routing, inventory sync, shipping, ERP push) are exposed as a permissioned interface that any consumer can use, rather than only through the vendor's screens. The engine runs the same way whether a person, a script, or an AI agent is asking. InfiPlex does this through its REST API for code and its MCP server for AI agents, on the same API key.
Headless commerce separates the customer-facing storefront from the commerce engine so brands can build any front end. Headless order management separates the operator-facing screens from the order engine so operators can use any interface, including AI agents. One is about how customers buy; this is about how your team runs what they bought.
Agentic commerce usually means AI agents shopping on behalf of consumers. Headless order management is about your own team's agents operating your business: answering, shipping, receiving, pricing, and diagnosing against your live instance. The two meet when an agent-placed order lands in your OMS and your agent tells you about it.
No. Headless means the screens are one head among three, not that they go away. Most teams keep using the admin for bulk work and configuration and use an agent for questions and one-off actions. Nothing about the admin changes when you enable MCP on a key.
Yes. Give it a key with the write scopes the job needs, enable the setting-write and arming flags only if the job touches settings or live traffic, and instruct the agent to complete the preview-and-confirm flow itself. It will receive, ship, price, or adjust without waiting for a person. Every channel-visible write still goes through the server's preview and argument-bound token, so the record shows exactly what it executed. Teams that prefer to approve each change keep the same key and instruct the agent to confirm in chat instead. The engine enforces the key's limits either way.
Nothing beyond API access, which is part of InfiPlex's Growth and Enterprise packages. There is no AI tier, no per-call fee, and no separate agent product. See pricing.
Any client that speaks MCP over Streamable HTTP with a header or bearer token: Claude on claude.ai and Claude Desktop, Claude Code, ChatGPT through Codex, Cursor, Windsurf, and agents you build on an MCP SDK. The set-up guide covers each.
Resources
Bring the thing your team opens three tabs to find out. We will connect an agent to a live InfiPlex instance and answer it on the call.
Open a key at Tools > Admin API, set MCP Enabled to Yes, and you are headless in five minutes. Questions: Contact us, email info@infiplex.com, or call 888‑770‑0857.
Order ids, SKUs, and warehouse names are examples. Claude is a trademark of Anthropic, PBC. ChatGPT and Codex are trademarks of OpenAI. Model Context Protocol is an open standard.
InfiPlex provides eCommerce companies, warehouses, and 3PLs with a robust platform to manage their sales channels.
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