Probo API Integration with MCP

@BrightNexo

About Probo API Integration with MCP

A Model Context Protocol (MCP) wrapper for the Probo printing API. Simplifies interactions with Probo's print service through standardized, type-safe interfaces for product configuration, ordering, and status tracking.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "probo-mcp-server": {
      "command": "node",
      "args": [
        "test.js"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Probo API Integration with MCP?

Probo API Integration with MCP is a Model Context Protocol (MCP) server that wraps the Probo printing API, providing a standardized, typed interface for AI assistants and other client applications to search, configure, and order printing products.

How to use Probo API Integration with MCP?

Clone the repository, run npm install, create a .env file with your PROBO_API_KEY, PROBO_API_URL, and PROBO_API_MODE (test or production). Then start the server with node server.js and use an MCP-compatible client (e.g. the included client.js) to call tools such as searchProducts, configureProduct, placeOrder, getOrderStatus, getAllOrders, and cancelOrder.

Key features of Probo API Integration with MCP?

Standardized MCP interface for the Probo printing API.
Input validation using Zod schemas.
Six tools: searchProducts, configureProduct, placeOrder, getOrderStatus, getAllOrders, cancelOrder.
Supports test mode (sandbox) and production mode.
Designed for integration with AI assistants and chat interfaces.

Use cases of Probo API Integration with MCP?

Search for printing products by keyword or language.
Configure a product with custom options and delivery address.
Place an order for a configured product.
Check the status of specific orders or list all orders.
Cancel an existing order.

FAQ from Probo API Integration with MCP

What dependencies and setup are required?

Node.js and npm are required. Clone the repo, run npm install, and set environment variables in .env.

How do I configure test vs. production mode?

Set PROBO_API_MODE=test in your .env file or pass isTest: true when calling placeOrder. Test orders are automatically canceled by Probo.

What tools are provided?

The server provides six tools: searchProducts, configureProduct, placeOrder, getOrderStatus, getAllOrders, and cancelOrder. Each tool has documented arguments and example usage in the README.

Can I use this from AI chat interfaces like Claude?

Yes. Start the server with node server.js and connect an MCP-compatible AI chat interface to it. The README includes example prompts for searching products and placing orders.

Where can I learn more about the Probo API?

Refer to the Probo API Documentation for full API details. API credentials are required and can be obtained by contacting Probo.

Frequently asked questions

What dependencies and setup are required?

Node.js and npm are required. Clone the repo, run `npm install`, and set environment variables in `.env`.

How do I configure test vs. production mode?

Set `PROBO_API_MODE=test` in your `.env` file or pass `isTest: true` when calling `placeOrder`. Test orders are automatically canceled by Probo.

What tools are provided?

The server provides six tools: `searchProducts`, `configureProduct`, `placeOrder`, `getOrderStatus`, `getAllOrders`, and `cancelOrder`. Each tool has documented arguments and example usage in the README.

Can I use this from AI chat interfaces like Claude?

Yes. Start the server with `node server.js` and connect an MCP-compatible AI chat interface to it. The README includes example prompts for searching products and placing orders.

Where can I learn more about the Probo API?

Refer to the [Probo API Documentation](https://apidocs.proboprints.com/) for full API details. API credentials are required and can be obtained by contacting Probo.

Comments

Basic information

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