How to Use the Sharpei MCP in OpenAI Agents SDK
Manage Shopify subscriptions and rentals. Built for OpenAI Agents SDK deployments.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Sharpei MCP to OpenAI Agents SDK
Create your Vinkius account to connect Sharpei to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Verify API Health
You can check the connection status using `check_sharpei_status`. If the endpoint reports a failure, your agent knows immediately that it needs to pause and alert an engineer. This prevents failed transactions down the line. Use `list_applications` to get a full rundown of every active application linked to the merchant store. It’s quick, clean, and gives you a clear inventory before running any complex tasks.
Handle Subscription Data
`get_subscription` pulls all necessary details for any given subscription ID. You'll get payment cycle information and customer billing records right away. This is crucial when your agent needs to confirm renewal timing. You can also list multiple plans with `list_subscriptions`. This gives you a bulk view, letting your team quickly identify which customers are on annual vs. monthly payments.
Manage Store Integrations
`create_application` sets up a new verification application for the store. Your agent can then use `get_application` to pull specific details about that setup. It’s the first step when onboarding a merchant. Don't forget `list_webhooks`. This tool lets you see all the webhooks currently active, ensuring your agent knows exactly where data is flowing within Shopify.
Set up Sharpei 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 Sharpei tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Sharpei tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Sharpei 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="Sharpei Agent",
instructions="You have access to Sharpei 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 Sharpei. 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 Sharpei MCP in OpenAI Agents SDK
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