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Agent1 Commerce MCP / by Aumatron

One connection between AI agents and online shops.

Agent1 gives AI agents a secure, structured way to understand and interact with online stores. Search products, compare options, check availability, build a basket and hand the customer securely to checkout through one predictable MCP interface.

commerce.session / structured
AI hostAumatron or compatible client
Protocol layerAgent1 Commerce MCP
01  search_products({
02    query: "waterproof work bag",
03    max_price: 80
04  })
05 
06  ✓ 12 products returned
07  source: live_store_catalogue
08  next: compare | check_stock | add_to_cart
STRUCTURED DATANot screen scraping
COMPACT TOOLSETNot selector hunting
BUSINESS CONTROLScoped permissions
SECURE HAND-OFFStore-owned checkout
01 / The product

AI can discuss products. Accessing a real shop is still too difficult.

Most AI shopping integrations depend on page scraping, browser automation or platform-specific code. An agent must discover menus, forms, selectors and separate tools before it can complete a simple request. Agent1 replaces that fragile layer with a stable commerce interface.

Without Agent1

Every shop becomes a new navigation problem.

A theme update, renamed field or changed selector can break the entire journey. Each AI application has to rebuild the same integration logic.

× Fragile CSS selectors× Repeated browser discovery× Platform-specific tool sprawl× Unclear action permissions
With Agent1

One commerce contract across connected stores.

The AI sees the same tool names and response structure. Agent1 handles the platform-specific catalogue, stock, basket and checkout connections behind the scenes.

Structured store information Predictable tool schemas Controlled, auditable actions Real-time shop data
02 / How it works

Connect. Discover. Shop.

The shop keeps its existing catalogue, inventory controls and checkout. Agent1 adds the standardized connection that compatible AI agents can understand.

STEP 01

Connect the store

The business connects its ecommerce system and chooses which Agent1 capabilities to enable.

STEP 02

Connect the AI

Aumatron or another compatible MCP client connects through the Agent1 service.

STEP 03

Discover products

The AI searches, compares and checks live product information using structured tools.

STEP 04

Hand off securely

With approval, the AI prepares a basket and sends the customer to the shop's checkout.

03 / Proposed core tools

A small, predictable commerce toolset.

An AI should not need dozens of overlapping tools. Agent1 is designed around a compact set of clear operations with structured inputs and outputs.

CORE SCHEMA / IN DEVELOPMENT
search_productsREAD

Find relevant products

Search by natural-language requirements, category, price and product attributes.

get_productREAD

Retrieve full details

Return current pricing, variations, images, descriptions and structured attributes.

check_stockREAD

Confirm availability

Check whether the selected product and variation are currently available.

compare_productsREAD

Compare consistently

Present normalized product information for useful, accurate comparisons.

create_cartWRITE

Prepare a basket

Create a store basket without committing to an order or taking payment.

add_to_cartWRITE

Add an approved item

Add a selected product, quantity and variation to the active basket.

get_shipping_optionsREAD

Show delivery choices

Return delivery methods and estimates when supplied by the connected shop.

create_checkout_linkHAND-OFF

Continue securely

Send the customer to the shop's existing checkout for final review and payment.

04 / Two sides, one protocol

Useful for businesses. Predictable for developers.

01

Make your shop accessible to AI assistants.

Give AI applications a controlled way to search your live catalogue, answer product questions and prepare customer baskets without rebuilding your website for each AI platform.

For online businesses
02

Stop teaching every agent how every shop works.

Connect to a consistent commerce interface across supported stores. Spend less time maintaining browser selectors and platform-specific logic.

For AI developers
05 / Designed for control

The business remains in control.

AI-assisted shopping should not bypass the store's existing security, payment or customer-confirmation processes.

R/W

Scoped capabilities

Read and write operations are separated so each shop can control what an agent may access or change.

Customer confirmation

Basket changes and checkout hand-off are designed around clear customer approval.

Store-owned checkout

Final review, address details and payment stay inside the shop's existing checkout flow.

Security and permission details shown here describe the intended product design and will be finalized before public availability.

Agent1 / Commerce MCP

Help shape the connection between AI agents and online business.

Agent1 is being developed as the MCP layer between AI applications and ecommerce stores. The first release will focus on a reliable core toolset, clear permissions and secure checkout hand-off.