ApparelHub MCP server: workflow-level tools that let an AI agent design apparel, build products, and sync them to sales channels through
Free
Tools
search_products
Search the allover.art catalog (one card per design). Args: query? (free text, e.g. 'cat', 'neon koi'), theme? (canonical theme like Cats/Anime/Skulls, comma-separated for several), section? (mens|womens|kids), limit? (<=48), max_price? (USD). Returns product cards with good_id, price and url.
ArgumentsA call is made on an account: it counts against an allowance and the publisher sees it, which is why this one asks who you are first.
—
p95 latency
—
call success
—
uptime 90d
0
calls last 7d
What it does
Shop all-over print cotton tees with your AI agent: search, cart, promos, checkout. Human pays.
Quickstart
# 1 — install (mcprush login holds a key from your dashboard)
npx mcprush@latest add agentee-mcp
# 2 — ask your agent something
> Shop all-over print cotton tees with your AI agent: search, cart, promos, checkout. Human pays.
Agentee is free: there is no plan to choose, no cap to set and nothing that can bill you.
Publishernot claimed
ALAll 1 server
allover.art1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine — this server runs on the publisher’s own infrastructure behind our gateway, and what you install is the connection to it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. Claude Code registers it in one command.
claude mcp add --transport http agentee-mcp https://allover.art/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free to install, and it runs from its publisher’s own package: no account, no key, no card.
What it writes
One config entry pointing at the gateway. The server itself runs on the publisher’s own infrastructure, so nothing from this listing executes on your machine.
What you approve
31 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Search the allover.art catalog (one card per design). Args: query? (free text, e.g. 'cat', 'neon koi'), theme? (canonical theme like Cats/Anime/Skulls, comma-separated for several), section? (mens|womens|kids), limit? (<=48), max_price? (USD). Returns product cards with good_id, price and url.
Takes no parameters.
Example callreturns →
Full details of one product by its code: available sizes, fabrics, per-variant price, and the design 'about' text. Args: code (from search_products).
Takes no parameters.
Example callreturns →
List active curated collections (themed landing pages) with their slugs and urls. Args: limit?.
Takes no parameters.
Example callreturns →
Show the current contents of the user's cart (the same cart they see in the browser when signed in).
Takes no parameters.
Example callreturns →
Add a product to the user's cart. Args: good_id (from search/get_product), size (must be one of the product's sizes), fabric? (if the product offers a choice), qty? (default 1). Returns the updated cart.
Takes no parameters.
Example callreturns →
Change the quantity of a cart line by its index (from view_cart); qty=0 removes it. Args: index, qty.
Takes no parameters.
Example callreturns →
Get the URL where the human opens their cart to review and pay. The agent never pays — checkout is always done by the person in the browser.
Takes no parameters.
Example callreturns →
Look up the user's recent orders (or one by number) and their fulfilment status. Args: number?, limit? (default 5).
Takes no parameters.
Example callreturns →
Change a cart line by its index (from view_cart): set qty (0 removes), or switch size/fabric. Args: index, qty?, size?, fabric?.
Takes no parameters.
Example callreturns →
Remove a cart line by its index (from view_cart). Args: index.
Takes no parameters.
Example callreturns →
Validate and apply a promo code to the cart (server-checked). Returns the new discount/shipping/total, or applied=false with a reason. Args: code.
Takes no parameters.
Example callreturns →
Remove the applied promo code from the cart.
Takes no parameters.
Example callreturns →
Return the shopper's saved default size and fit. Call this BEFORE asking the user for a size — if a default is set, apply it automatically (add_to_cart uses it when size is omitted), and prefer products matching their fit (basic vs oversized).
Takes no parameters.
Example callreturns →
Save the shopper's default size and/or fit so they don't re-enter it each time. Args: size (XS…5XL), fit (basic | oversized). Pass only what the user stated.
Takes no parameters.
Example callreturns →
Return shipping addresses the user used in past orders — offer these to a returning buyer instead of asking again.
Takes no parameters.
Example callreturns →
Set the shipping address for this order (validated). Args: name, country, city, address, zip?, phone.
Takes no parameters.
Example callreturns →
Available shipping methods for the current cart/address, with price and ETA (free over the threshold).
Takes no parameters.
Example callreturns →
Choose a shipping method by its option_id (from get_shipping_options). Args: option_id.
Takes no parameters.
Example callreturns →
Full order summary to show the human before ordering: line items, promo/discount, shipping, address, grand total. Prices are server-computed.
Takes no parameters.
Example callreturns →
Create a draft order from the cart + address + promo and return {checkout_url, draft_id, expires_at}. The human opens checkout_url — everything is pre-filled — reviews and pays. The agent never pays. Call get_order_preview and confirm with the human first.
Takes no parameters.
Example callreturns →
START HERE for any custom-print request: the menu of generation choices (print placements with plain-language descriptions, products, backgrounds, engines+costs). Present these to the human — at minimum ask which PLACEMENT and which PRODUCT they want — before calling studio_generate.
Takes no parameters.
Example callreturns →
Generate a CUSTOM t-shirt print from a text prompt (AI, takes 2-10 min). SPENDS THE ACCOUNT OWNER'S STUDIO CREDITS: tell them the cost and their balance and get a yes BEFORE calling this — never spend silently, and never spend to 'try something' on your own initiative. Credits are earned (20 free on signup, 20 with every tee bought), so a wasted one is a real loss to them. Free exception: preserve
Takes no parameters.
Example callreturns →
Check a custom print generation. Args: print_id (from studio_generate). When done returns preview_url — show it to the human.
Takes no parameters.
Example callreturns →
The user's Studio credit balance. Check before studio_generate (1 credit per generation, either engine; welcome bonus 20; every bought tee adds 20).
Takes no parameters.
Example callreturns →
Put a FINISHED custom print into the cart as a product. Args: print_id (must be done), product? (same set as studio_generate), size, qty?. Then the normal checkout flow applies (get_order_preview -> prepare_order).
Takes no parameters.
Example callreturns →
The user's designer-program stats (if they are a designer-partner): units sold, revenue, accrued royalties, available for payout, royalty percent, their designer page URL.
Takes no parameters.
Example callreturns →
The user's own published designs with live status (products on sale / hidden / pending). Args: limit? (default 50).
Takes no parameters.
Example callreturns →
Get a short-lived URL to upload an image file to us (use when the designer has no public link — otherwise pass the URL straight to submit_design). Args: filename?. PUT the raw bytes to upload_url, then pass the returned upload_id to submit_design.
Takes no parameters.
Example callreturns →
Send one of the designer's own artworks for moderation. TWO inputs, same path: either artwork files — front/back accept a public image URL OR an upload_id from designer_upload_slot — or session_id of a FINISHED Studio session of theirs (generated with studio_generate; no need to download the print, we fetch it server-side). Args: name (required), front OR session_id (one of them), back?, layout? (
Takes no parameters.
Example callreturns →
What the designer has already sent in and where it stands: in review / accepted / needs changes (with the reason). Args: limit?.
Takes no parameters.
Example callreturns →
The user's Studio publications in moderation: in review / in catalog / needs changes. Args: limit?.
Takes no parameters.
Example callreturns →
Freeyour plan
$0 forever
- Every tool, no call limit
- No card, no account needed
- Source published under a licence you can read
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because nothing bills
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable. Agentee costs nothing to install and nothing to call, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: $8.42
$16.58 left
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is a hosted endpoint: the publisher runs it and we connect to it. The scanner reads packages and source, and neither exists to read here, so there is no grade — not a withheld one, an unmeasured one. What can be checked instead is on Installation: what it asks to reach and what it writes.
Release history
Pinned to 1.0.0 — the install command below asks for that release. A pin is part of an install, so it is kept for this visit and written down when you install.
1.0.0
undated
installedNo release note was published with this version.
—
no reviews yet
Reviews are earned
Only accounts with at least 50 real tool calls against this server in the last 90 days can post. Ratings are weighted by how much the reviewer actually uses it, and publishers can reply once per review.
Reviews are earned
Writing one takes an account with at least 50 real tool calls against Agentee in the last 90 days. That is the whole gate — there is no other way to post, which is why the counts beside each review are worth reading.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes an account with 50 real tool calls against it.