How to Use the Treinta App MCP in OpenAI Agents SDK
Build production e-commerce agents for OpenAI Agents SDK that handle full inventory and client lifecycle.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Treinta App MCP to OpenAI Agents SDK
Create your Vinkius account to connect Treinta App 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 Client Accounts via MCP Server
Your agent can find all registered customers using `list_clients`, or pull a specific person's financial standing with `get_client`. This lets your system immediately check if a client has an overdue balance before processing an order. Need to add new business partners? Just call `create_client` and register them instantly. You also have the option to fetch deep insights into sales totals using `list_sales`, giving you a quick view of where the revenue is coming from.
Control Inventory Levels with Treinta App
Inventory management runs smoothly when your agent calls `list_products` to see everything in stock. If an item sells out, it's simple: use `update_product_stock` to adjust the physical quantity right away. This prevents overselling and keeps the store data accurate. Beyond checking stock, you can add brand new merchandise by calling `create_product`. Your agent ensures every SKU has a place in the system before sales even start.
Process Transactions & Stats with OpenAI Agents SDK
The core financial loop is covered here. An agent can create a new sale using `create_transaction`, or it can clean up messes by reversing bad entries with `delete_transaction`. You'll never lose track of cash flow again. Want to see the big picture? Run `get_business_stats` for macro P&L operations. Need a list of every recorded financial movement? Use `list_transactions`.
Set up Treinta App 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 Treinta App tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Treinta App tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Treinta App 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="Treinta App Agent",
instructions="You have access to Treinta App 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 Treinta App. 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 Treinta App MCP in OpenAI Agents SDK
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