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How to Use the Umbrellar MCP in OpenAI Agents SDK

Manage warranty lifecycles with your OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Umbrellar MCP to OpenAI Agents SDK

Create your Vinkius account to connect Umbrellar 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.

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Process and track product claims.

Need to manage a warranty claim? The agent calls `create_claim` to submit new requests immediately. After submission, you can get the status using `get_claim`, or list all past records with `list_claims`. This keeps your team fully aware of every submitted request.

Maintain accurate product inventory.

When products change hands, keep Umbrellar up to date. The agent handles syncing data between Shopify and the backend using `sync_products`. You can also register new items directly with `register_product` for proper OEM warranty tracking.

Review and manage policy details.

Before doing anything, you need to know what coverage exists. Use the agent to retrieve specific plan information via `get_warranty`, or check available options using `list_warranties`. You can also validate if a given policy ID is valid using `validate_policy`.

Setup guide

Set up Umbrellar 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. 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. 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 Umbrellar tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Umbrellar 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="Umbrellar Agent",
            instructions="You have access to Umbrellar 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 Umbrellar. 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 Umbrellar MCP in OpenAI Agents SDK

The agent treats Umbrellar like any other service. To file a new claim, you just tell it to use `create_claim`. The MCP Server handles submitting that data and giving you an immediate confirmation.
Yep. You can ask your agent to call `list_policies` at any time. This gives you a full rundown of every policy Umbrellar manages, which is useful for auditing.
The MCP Server touches specific `product IDs` and associated registration details. The agent executes these calls securely through your configured endpoint token, ensuring controlled access.
Absolutely. If a situation changes, you can use `update_claim`. This modifies existing record details without having to file a brand new request.
Yes. The agent uses `sync_products` to keep your Shopify and Umbrellar records in sync, which is critical for avoiding data discrepancies.

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