How to Use the Design Pickle MCP in OpenAI Agents SDK

Q: How do I check Design Pickle requests with the OpenAI Agents SDK?

Your agent can use the listdesignrequests tool to get all current jobs. For more targeted lookups, you can use searchdesignrequests with a keyword or getdesignrequestdetails with a specific ID.

Q: Can an OpenAI Agent find a specific brand profile in Design Pickle?

Yes. The agent can use listbrandprofiles to see all of them, then use getbrandprofiledetails to get the specifics for any single profile. It's a direct way to pull brand data into your agent's workflow.

Q: What's the best way to list delivered designs from Design Pickle using the OpenAI Agents SDK?

The listrecentlydelivereddesigns tool is built for this. It gives your agent a list of jobs that have just been completed, so you can build automation that triggers as soon as work is done.

Let your OpenAI Agent manage your entire Design Pickle queue, from checking status to finding finished work.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Design Pickle MCP to OpenAI Agents SDK

Create your Vinkius account to connect Design Pickle to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Design Pickle with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Check your design queue status

This MCP Server gives your agent the tools to monitor your entire design pipeline. It can check the main production queue with `get_production_queue_status` or pull a list of all jobs with `list_design_requests`. You don't have to log into the website just to see what's happening. Build handoffs between agents. One agent can watch for completed work using `list_recently_delivered_designs` and then pass the details to another agent for processing. With OpenAI's built-in tracing, you see every action and decision in your dashboard.

Find any design request or brand profile

Stop digging through your account to find things. Your agent can use `search_design_requests` with a keyword to find a specific job instantly. It can also get the full history and details for any request using `get_design_request_details`. This isn't just for one-off tasks. Your agent can also manage brand consistency by pulling details with `get_brand_profile_details` or listing all of them with `list_brand_profiles`. It's a reliable way to feed brand data into other parts of your system.

Get an overview via your OpenAI Agent

Your agent can get a high-level summary of your account. Use `get_account_metadata` to check settings and `list_active_subscriptions` to confirm your current plan. It's perfect for automated reporting or internal dashboards powered by this MCP connection. You can also see who's working on your projects. The `list_assigned_designers` tool gives your agent a current list of assigned designers. This gives you the visibility you need, right inside your agent's logic.

Setup guide

Set up Design Pickle MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Design Pickle tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Design Pickle tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Design Pickle tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Design Pickle Agent",
            instructions="You have access to Design Pickle tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Design Pickle. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Design Pickle now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Design Pickle MCP in OpenAI Agents SDK

Your agent can use the `list_design_requests` tool to get all current jobs. For more targeted lookups, you can use `search_design_requests` with a keyword or `get_design_request_details` with a specific ID.

Yes. The agent can use `list_brand_profiles` to see all of them, then use `get_brand_profile_details` to get the specifics for any single profile. It's a direct way to pull brand data into your agent's workflow.

The `list_recently_delivered_designs` tool is built for this. It gives your agent a list of jobs that have just been completed, so you can build automation that triggers as soon as work is done.

Absolutely. The tools are granular enough for specialized agents. For example, one agent can monitor the queue with `get_production_queue_status` and hand off a specific request ID to another agent that uses `get_design_request_details` for processing.

This server only accesses Design Pickle metadata like request titles, brand profile names, and subscription details. The OpenAI Agents SDK provides a full audit trail of every tool call in your dashboard, and its guardrails can be configured to prevent unintended actions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript