# Printify MCP Server (`rl1987/printify-mcp`) Actor

Model Context Protocol (MCP) server wrapping the full Printify public API.

- **URL**: https://apify.com/rl1987/printify-mcp.md
- **Developed by:** [R.L.](https://apify.com/rl1987) (community)
- **Categories:** MCP servers, E-commerce
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

Manage your entire [Printify](https://printify.com) print-on-demand business from any AI
assistant that speaks [Model Context Protocol](https://modelcontextprotocol.io) — Claude, Claude
Code, Cursor, or any other MCP client. This Actor runs as a live MCP server on the Apify
platform, so there's nothing to host yourself: connect your MCP client, hand it your Printify API
token, and start asking it to browse the catalog, build products, place orders, or manage
webhooks in plain English.

### Why use the Printify MCP server?

Printify's dashboard is built for humans clicking through forms one product at a time. This
Actor puts the same capabilities behind natural language instead:

- **Bulk product creation** — describe a product line and have your agent create dozens of
  variants across blueprints and print providers without touching a spreadsheet.
- **Catalog research** — ask "which print providers offer this hoodie blueprint and what do they
  charge for shipping to Germany?" and get a straight answer.
- **Order automation** — feed your agent a list of addresses and line items and let it submit,
  price, and send orders to production.
- **No server to run** — this Actor lives on Apify's infrastructure in Standby mode, always
  ready to accept a connection, with no deployment or uptime work on your end.

### How to use the Printify MCP server

1. Get a Printify API token from **Printify → My Profile → Connections**
   ([printify.com/app/account/api](https://printify.com/app/account/api)).
2. Get an Apify API token from your [Apify Console integrations page](https://console.apify.com/account/integrations)
   — this authenticates you to the Actor itself, separately from Printify.
3. Connect your MCP client to this Actor's endpoint, passing both tokens as HTTP headers (see
   **Connecting**, below).
4. Start prompting: "list my Printify shops", "create a t-shirt product with this blueprint",
   "show me my last 10 orders".

#### Connecting

The MCP endpoint for this Actor is:

```
https://rl1987--printify-mcp.apify.actor/mcp
```

With the Claude Code CLI:

```bash
claude mcp add --transport http printify \
  https://rl1987--printify-mcp.apify.actor/mcp \
  --header "Authorization: Bearer ${APIFY_API_TOKEN}" \
  --header "x-printify-api-token: ${PRINTIFY_API_TOKEN}"
```

(export `APIFY_API_TOKEN` and `PRINTIFY_API_TOKEN` in your shell first — don't hardcode tokens in
the command itself.)

For any other MCP client, add an HTTP/streamable-HTTP server with that URL and the same two
headers.

Verify the connection and see the full tool list with `claude mcp list` or `/mcp`.

A shared `.mcp.json` (URL only, no tokens) can be committed to a team repo; each teammate then
runs `claude mcp add --scope local` once with their own tokens.

### Authentication

Every request needs two separate tokens, since the Actor and Printify are two different
services:

| Header | Purpose |
|---|---|
| `Authorization: Bearer <token>` | Your **Apify** API token — authenticates you to this Actor |
| `x-printify-api-token: <token>` | Your **Printify** API token — authenticates you to Printify's API |

The Printify token is read fresh from the header on every tool call. The Actor never stores it,
so different sessions can safely use different Printify accounts.

### Tools

Every tool maps directly to a [Printify API](https://developers.printify.com) endpoint, grouped
by resource:

| Group | Tools |
|---|---|
| Shops | `list_shops`, `disconnect_shop` |
| Catalog | `list_blueprints`, `get_blueprint`, `list_blueprint_print_providers`, `list_blueprint_variants`, `get_blueprint_shipping`, `list_print_providers`, `get_print_provider` |
| Products | `list_products`, `get_product`, `create_product`, `update_product`, `delete_product`, `publish_product`, `set_product_publish_succeeded`, `set_product_publish_failed`, `unpublish_product` |
| Uploads | `list_uploads`, `get_upload`, `upload_image`, `archive_upload` |
| Orders | `list_orders`, `get_order`, `create_order`, `send_order_to_production`, `cancel_order`, `calculate_order_shipping` |
| Webhooks | `list_webhooks`, `create_webhook`, `update_webhook`, `delete_webhook` |

Tools that take a `product` or `order` argument accept a raw JSON object matching the
corresponding Printify request schema, documented in full at
[developers.printify.com](https://developers.printify.com). Your MCP client's model reads those
docs and builds the payload for you — you don't need to hand-write JSON yourself.

### Pricing

This Actor uses Apify's [Pay Per Event](https://docs.apify.com/platform/actors/publishing/monetize#pay-per-event-pricing-model)
model: each **completed** tool call charges the `tool-call` event (see
[`pay_per_event.json`](.actor/pay_per_event.json) for the current price). Failed calls — a bad
Printify token, a Printify API error, a validation error — are never charged. There's no
per-minute or standby cost; you only pay for tool calls your agent actually completes.

### Tips

- Ask your agent to fetch `list_blueprints` and `list_blueprint_print_providers` before creating
  a product — it needs valid blueprint/print-provider/variant IDs to build a correct payload.
- Use `calculate_order_shipping` before `create_order` to sanity-check shipping cost and method
  without committing to an order.
- Idle MCP sessions are closed automatically after 5 minutes of inactivity (configurable via the
  `SESSION_TIMEOUT_SECS` environment variable) to keep the Actor's Standby container lean.

### FAQ

**Does this Actor store my Printify data?** No. It's a stateless proxy — every tool call goes
straight to Printify's API using the token in your request headers, and nothing is persisted.

**Can multiple people use this Actor with different Printify accounts?** Yes. The Printify token
is per-request, so every caller can use their own account independently.

**Something's not working — where do I report it?** Open an issue on the Actor's Issues tab in
Apify Console, or file one against this repository.

### Did you find this useful?

⭐ Rate this actor on Apify! Your feedback helps other users find it and helps us keep improving it.

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("rl1987/printify-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("rl1987/printify-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call rl1987/printify-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rl1987/printify-mcp"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/CZGmXbMom20dL6lGi/builds/dsVzy1LNFJfI42Hz9/openapi.json