DeveloperWebMCP verified
store.nekuda.ai WebMCP tools
AI-native demo storefront
15 tools1 methodsspec API surface
What can an agent do with store.nekuda.ai WebMCP tools?
AI-native demo storefront This page documents every listed tool, the action or answer it provides, its installation command, and the input fields an agent should send.
WebMCP tools on store.nekuda.ai
open_home
Takes the user to the Dashboard section of the nekuda hat store, where they can view agent activity, configure the assistant, run tests, and access developer settings. Use this when the user asks to open the dashboard, manage the AI agent, view activity logs, or access developer/testing tools for the store assistant.
How to install
Open the store.nekuda.ai website and ask your browser agent to use open_homeInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the open_home tool on store.nekuda.ai. Return the structured result and cite the source page.Input contract
update_save_ai_agent_s_system
Allows the user to customize the store's AI assistant by setting a new system prompt and/or brand values, then saving the configuration. Use this when the user wants to change how the assistant behaves, update its personality or tone, set brand guidelines, or reset the agent config to defaults. This directly controls the assistant's instructions and brand voice.
How to install
Open the store.nekuda.ai website and ask your browser agent to use update_save_ai_agent_s_systemInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the update_save_ai_agent_s_system tool on store.nekuda.ai with brand_values: <string>, system_prompt: <string>. Return the structured result and cite the source page.Input contract
brand_valuesstringsystem_promptstring
authenticate
Initiate user authentication. Opens a sign-in modal. Use this when the user needs to log in before accessing other tools.
How to install
Open the store.nekuda.ai website and ask your browser agent to use authenticateInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the authenticate tool on store.nekuda.ai. Return the structured result and cite the source page.Input contract
search_products
Search and browse the nekuda hat catalog. Use for any product discovery: finding hats by style/theme, browsing the collection, or showing what's available. Set max_results to 10 when the customer wants to see everything.
How to install
Open the store.nekuda.ai website and ask your browser agent to use search_productsInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the search_products tool on store.nekuda.ai with query: <string>, max_results: <number>. Return the structured result and cite the source page.Input contract
querystring What the customer is looking for (e.g., "space themed hats", "nature designs", "hats" for browsing all)max_resultsnumber Maximum number of results to return (default: 3, use 10 for browsing)
get_product_details
Get full details for a specific hat by its product ID. Use when a customer asks about a particular product they've already seen.
How to install
Open the store.nekuda.ai website and ask your browser agent to use get_product_detailsInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the get_product_details tool on store.nekuda.ai with product_id: <string>. Return the structured result and cite the source page.Input contract
product_idstring The product ID (e.g., "space-explorer", "tech-circuit", "botanical-bots", "mecha-wildlife", "cosmic-adventure")
checkout
Start the checkout process. Use when the customer says they want to pay, checkout, complete their order, or proceed to payment.
How to install
Open the store.nekuda.ai website and ask your browser agent to use checkoutInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the checkout tool on store.nekuda.ai. Return the structured result and cite the source page.Input contract
add_to_cart
Add a product to the shopping cart. Use when the customer wants to buy a hat, add it to cart, or says "I'll take it".
How to install
Open the store.nekuda.ai website and ask your browser agent to use add_to_cartInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the add_to_cart tool on store.nekuda.ai with product_id: <string>, quantity: <number>. Return the structured result and cite the source page.Input contract
product_idstring The product ID to add (e.g., "space-explorer")quantitynumber Number of items to add (default 1)
get_deals
Get current deals, promotions, and discount codes. Use when the customer asks about sales, discounts, promo codes, or ways to save money.
How to install
Open the store.nekuda.ai website and ask your browser agent to use get_dealsInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the get_deals tool on store.nekuda.ai. Return the structured result and cite the source page.Input contract
price_history
Get historical price data for a specific product. Use when the customer asks about price trends, whether a product is on sale, or if the price has changed.
How to install
Open the store.nekuda.ai website and ask your browser agent to use price_historyInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the price_history tool on store.nekuda.ai with product_id: <string>. Return the structured result and cite the source page.Input contract
product_idstring The product ID to get price history for (e.g., "space-explorer")
check_availability
Check if a product is available for in-store pickup at nearby locations. Use when the customer asks about store stock, pickup options, or local availability.
How to install
Open the store.nekuda.ai website and ask your browser agent to use check_availabilityInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the check_availability tool on store.nekuda.ai with product_id: <string>. Return the structured result and cite the source page.Input contract
product_idstring The product ID to check availability for
get_best_sellers
Get the store's best-selling products. Use only when the customer specifically asks about best sellers, most popular hats, or top picks. For general browsing use search_products.
How to install
Open the store.nekuda.ai website and ask your browser agent to use get_best_sellersInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the get_best_sellers tool on store.nekuda.ai. Return the structured result and cite the source page.Input contract
faq_support
Answer questions about store policies: shipping, returns, sizing, materials, gift wrapping, care instructions, etc. Use when the customer asks a non-product question about how the store works.
How to install
Open the store.nekuda.ai website and ask your browser agent to use faq_supportInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the faq_support tool on store.nekuda.ai with question: <string>. Return the structured result and cite the source page.Input contract
questionstring The customer question about policies, shipping, returns, sizing, etc.
track_order
Track the shipping status of an order. Returns order status, carrier, tracking number, and estimated delivery.
How to install
Open the store.nekuda.ai website and ask your browser agent to use track_orderInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the track_order tool on store.nekuda.ai with order_id: <string>. Return the structured result and cite the source page.Input contract
order_idstring The order ID to track. If not provided, tracks the most recent order.
request_return
Start a return for an order. Opens the return form for the customer to fill out.
How to install
Open the store.nekuda.ai website and ask your browser agent to use request_returnInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the request_return tool on store.nekuda.ai with order_id: <string>, reason: <string>. Return the structured result and cite the source page.Input contract
order_idstring The order ID to returnreasonstring Reason for the return
leave_review
Open a review form for a purchased product. Lets the customer rate and review a product.
How to install
Open the store.nekuda.ai website and ask your browser agent to use leave_reviewInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the leave_review tool on store.nekuda.ai with product_name: <string>. Return the structured result and cite the source page.Input contract
product_namestring The name of the product to review