How do I get a Gelato API key?
Visit the [Gelato API Portal](https://developers.gelato.com/), sign up or log in, and generate an API key from your dashboard.
@madzarm
Basic information
Server for managing your Gelato POD account.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-gelato": {
"command": "uvx",
"args": [
"mcp-server-gelato"
],
"env": {
"GELATO_API_KEY": "your_api_key_here"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Mcp Server Gelato integrates with Gelato’s print-on-demand API, providing tools and resources to search orders, retrieve order details, and explore product catalogs. It is designed for developers using AI assistants (MCP hosts) to manage Gelato order workflows and product data.
Install via uvx mcp-server-gelato or pip install mcp-server-gelato, then set the GELATO_API_KEY environment variable. Run the server with mcp-server-gelato or add it to Claude Desktop using claude mcp add gelato --env GELATO_API_KEY="your_key" -- uvx mcp-server-gelato. After startup, use tools like search_orders and resources like orders://{order_id}.
Visit the [Gelato API Portal](https://developers.gelato.com/), sign up or log in, and generate an API key from your dashboard.
Yes, Python 3.13 or later is required.
The server will fail to connect. You can either install with the API key set as an environment variable or use the `configure_gelato` tool within Claude to configure it afterward.
The server uses standard MCP transport over stdio and authenticates via a Gelato API key provided through the `GELATO_API_KEY` environment variable.
The `search_orders` tool is limited to 100 results per request (controlled via the `limit` parameter). The server automatically retries on rate limiting with exponential backoff.

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