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Printify MCP Server

@TSavo

代码仓库

基本信息

分类

其他

许可证

ISC

传输方式

stdio

作者

TSavo

关于 Printify MCP Server

A Model Context Protocol (MCP) server for integrating AI assistants with Printify's print-on-demand platform

#printify#mcp#ai-integration

Printify MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "printify-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-it",
        "--name",
        "printify-mcp",
        "\\"
      ]
    }
  }
}

Printify MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Printify MCP Server?

It is a bridge between AI assistants (like Claude) and Printify’s print-on-demand platform. It allows AI assistants to create and manage print-on-demand products, generate designs using AI, and handle all aspects of product management through the Model Context Protocol (MCP).

How to use Printify MCP Server?

Install by cloning the repository, running npm install and npm run build. Configure required environment variables (PRINTIFY_API_KEY) and optionally PRINTIFY_SHOP_ID, REPLICATE_API_TOKEN, and IMGBB_API_KEY in a .env file or system environment. Start with npm start, or run with Claude Desktop via the global printify-mcp command, via npx @tsavo/printify-mcp, or via Docker with docker exec -i printify-mcp node dist/index.js.

Key features of Printify MCP Server

  • Integrates AI assistants with Printify’s print-on-demand platform
  • Manage shops, products, blueprints, variants, and images
  • AI image generation via Replicate’s Flux 1.1 Pro model
  • Upload AI-generated images directly to Printify in one step
  • In-tool documentation and step-by-step workflow guidance
  • Prompts for generating product descriptions from product details

Use cases of Printify MCP Server

  • Creating a T‑shirt with an AI‑generated design and uploading it to Printify
  • Managing existing products: creating, reading, updating, deleting, and publishing
  • Browsing Printify’s catalog of blueprints, print providers, and variants
  • Generating compelling product descriptions based on product details

常见问题

1

What is the Model Context Protocol (MCP)?

MCP is an open standard developed by Anthropic that standardizes how applications provide context to Large Language Models (LLMs). This server implements the MCP specification to expose Printify’s functionality to AI assistants in a structured way.

2

What prerequisites are needed?

Node.js v18 or higher, npm v7 or higher, a Printify API key, and optionally a Replicate API token and an ImgBB API key (the latter is required only when using the Flux 1.1 Pro Ultra model for image generation).

3

How do I obtain a Printify API key?

Log in to your Printify account, go to Settings > API, click “Create New API Key”, then copy the key and add it to your `.env` file.

4

How can I use this server with Claude Desktop?

You can install the package globally (`npm install -g @tsavo/printify-mcp`) and add the command `printify-mcp` in Claude Desktop’s MCP Server settings. Alternatively, use npx (`npx @tsavo/printify-mcp`) or Docker (run the container and set the command to `docker exec -i printify-mcp node dist/index.js`).

5

Where are API keys and temporary files stored?

API keys are stored in environment variables or a `.env` file in the project directory. Temporary files (e.g., for image generation) are placed in a `./temp` directory, which must be mounted as a volume when using Docker.

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