How to Use the CloudCart MCP in OpenAI Agents SDK
Connect CloudCart to your OpenAI Agents SDK production pipeline to track abandoned carts and manage store orders with guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CloudCart MCP to OpenAI Agents SDK
Create your Vinkius account to connect CloudCart 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.
Manage your store data inside OpenAI Agents SDK
This MCP Server exposes your catalog directly to your agent. You call `list_store_products` to pull the latest inventory state without leaving your code. Your agent parses the response immediately. It creates a local view of your store that stays synced with the live database.
Automate customer recovery with OpenAI Agents SDK
Trigger `get_abandoned_carts` whenever your agent detects a slump in sales. It grabs the specific data points needed to draft follow-up messages. Your agent logic handles the rest. It uses the tool output to identify high-value targets for your marketing team.
Deep dive into order history with OpenAI Agents SDK
Run `get_order_store_details` to inspect individual transactions. Your agent gets the full JSON payload for any order ID you provide. This gives your agent the context it needs to resolve issues. It stops the guessing game and gives you exact answers from your store records.
Set up CloudCart 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 CloudCart tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives CloudCart tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate CloudCart 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="CloudCart Agent",
instructions="You have access to CloudCart 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 CloudCart. 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 CloudCart MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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