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Vinkius runs on Google ADK

How to Use the Printful MCP in Google ADK

Give your Gemini models direct access to the Printful catalog using Google ADK.

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Works with every AI agent you already use

…and any MCP-compatible client

Printful MCP on Cursor AI Code Editor MCP Client Printful MCP on Claude Desktop App MCP Integration Printful MCP on OpenAI Agents SDK MCP Compatible Printful MCP on Visual Studio Code MCP Extension Client Printful MCP on GitHub Copilot AI Agent MCP Integration Printful MCP on Google Gemini AI MCP Integration Printful MCP on Lovable AI Development MCP Client Printful MCP on Mistral AI Agents MCP Compatible Printful MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Google ADK

Connect Printful MCP to Google ADK

Create your Vinkius account to connect Printful to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Connect the Printful MCP Server to Gemini

The `list_products` tool feeds raw e-commerce catalog data straight into Gemini's massive context window. Google ADK lets your agent ingest thousands of items at once, cross-referencing Printful category IDs against customer trends stored in BigQuery. You configure the connection using `McpToolset` and pass it to your `LlmAgent`. If you only want the agent handling discovery, you can restrict access using the `tool_names` filter to keep it focused purely on catalog search via this MCP connection.

Extract exact variant IDs for orders

The `get_variant` tool isolates the specific identifier required to route a physical order. Gemini reads the base details via `get_product`, then drills down to find the exact SKU for a medium black hoodie. This prevents the agent from passing vague descriptions back to your Vertex AI pipeline. It grabs the hard ID, validates it against your internal inventory database, and stages the order for fulfillment.

Parse complex size guides instantly

The `get_product_sizes` tool retrieves the dimensional tables for any garment on Printful. Because Google ADK handles long-context reasoning so well, the agent can analyze sizing charts across twenty different shirts simultaneously. It maps out chest, length, and sleeve measurements and compares them against user profiles. You get a smart agent that actually knows how a brand fits, rather than just repeating generic sizing advice.

Setup guide

Set up Printful MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Printful tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Printful_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Printful tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Printful. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Printful MCP in Google ADK

Install `google-adk` via pip. Wrap your Vinkius endpoint in `StreamableHttpServerParameters` and initialize it as a `McpToolset` for your agent.
Yes. Use the `tool_names` filter when setting up the toolset. You can restrict the agent to just `list_products` if you want to block it from querying specific variants.
It passes category IDs into the `list_products` tool. Gemini uses this to isolate specific apparel types before running deeper analysis on the results.
The server feeds data to any agent built on Google ADK. You can pull variant details and pipe them directly into your Vertex workflows for pricing or trend analysis.
The MCP Server strictly reads Printful product specs, sizes, and variant IDs. The Vinkius zero-trust architecture ensures your Gemini agent fetches the catalog over an encrypted, stateless connection that vanishes the second the query finishes.

Start using the Printful MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for Printful. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

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