MCP (Model Context Protocol)
The open standard that lets your AI plug into real tools and data.
Definition
MCP, the Model Context Protocol, is an open standard that lets an AI assistant connect securely to outside tools and data. An app runs an MCP server that exposes specific actions, and an AI client like Claude connects to it so the assistant can read real data and do real work, rather than guessing from whatever you paste into a chat.
Why MCP matters for an Amazon seller
A general chatbot only knows what you paste into the conversation. You export a spreadsheet, drop it in, ask a question, and the moment the chat ends it forgets everything. MCP changes that. Through an MCP server, the AI can reach your live data on demand and take defined actions against it, so the answer is grounded in your real numbers instead of a stale copy.
For an FBA business that means your AI can look at current FBA stock, recent velocity, and forecasts the moment you ask, then draft a restock or a purchase order from real figures. You stay in control: the server defines exactly what the AI is allowed to see and do, and spending still waits for your approval.
How Inventory Hero uses MCP
Inventory Hero ships its own MCP server. You add it to Claude (desktop, web, or Claude Code) with one install line, and from then on Claude can query your live inventory, sales velocity, forecasts, and restock math, and act on them as a team member. The same deterministic engine that powers the web dashboards answers through the MCP server, so the numbers match everywhere.
This is the difference between renting a chatbot and hiring a capable team member. The AI is not improvising from a pasted file; it is reading your reconciled Amazon data and your business memory, then handing you finished work to approve.
Related terms
See it applied in Inventory Hero
Inventory Hero turns these inputs into restock recommendations against your real Amazon SKUs.
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