How to Use the Gumroad MCP in OpenAI Agents SDK
Directly manage your sales and license keys inside the OpenAI Agents SDK. Stop context switching between your dashboard and your code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gumroad MCP to OpenAI Agents SDK
Create your Vinkius account to connect Gumroad 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.
Real-time license verification in OpenAI Agents SDK
Your agent can check keys instantly using `verify_license`. It pulls the status directly from your account, so you know exactly who has access to your software. This prevents unauthorized users from slipping through the cracks. The agent handles the lookup without you writing custom auth logic.
Automated sales tracking for OpenAI Agents SDK
Use `list_sales` to pull transaction history into your agent's context. It maps every purchase to the specific product, giving your agent the full picture of your revenue. This makes it easy to generate reports or trigger alerts. You don't have to manually export CSVs anymore.
Manage your Gumroad inventory via OpenAI Agents SDK
Your agent can query `list_products` to see what is currently live. It reads the exact state of your store, so it never works with outdated information. If you need specific details, `get_product` provides the raw data your agent needs. It works as a direct pipeline to your backend.
Set up Gumroad MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Gumroad tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Gumroad tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Gumroad tools and returns structured results. Copy the full example on the right to get started.
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="Gumroad Agent",
instructions="You have access to Gumroad tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gumroad. 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.
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 Gumroad MCP in OpenAI Agents SDK
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