How to Use the Asset Panda MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK audit Asset Panda locations?

Yes, use the listlocations tool to fetch your current site list. It maps your physical footprint into your agent's decision-making logic.

Directly manage your hardware inventory in OpenAI Agents SDK by connecting this MCP Server to your live Asset Panda account.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Asset Panda MCP to OpenAI Agents SDK

Create your Vinkius account to connect Asset Panda 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.

GDPR Free for Subscribers

Setup Asset Panda with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate asset creation in OpenAI Agents SDK

Your agent uses `create_object` to inject new items into your tracking system without leaving your Python environment. It handles the API handshake so you can focus on the logic. This MCP Server ensures your agent only writes data where it belongs. You define the groups and let your code handle the entry.

Real-time auditing with OpenAI Agents SDK

Call `get_object` to pull current status or `list_objects` to scan an entire group of gear. Your agent gets the raw JSON back for immediate processing. Stop digging through web dashboards. Your agent fetches the exact field values you need to generate reports or trigger alerts.

Controlled updates for OpenAI Agents SDK

Trigger `update_object` whenever your agent detects a change in item status or location. It pushes the delta directly to your records. Keep your database clean by letting the agent handle the sync. It treats your inventory like a standard Python object.

Setup guide

Set up Asset Panda 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

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

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 Asset Panda tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Asset Panda tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Asset Panda 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="Asset Panda Agent",
            instructions="You have access to Asset Panda tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Asset Panda. 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.

Connect Asset Panda now

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 Asset Panda MCP in OpenAI Agents SDK

You connect via an HTTP transport. The server exposes your inventory data as native tool definitions for your agent to call directly.

Yes, use the `list_locations` tool to fetch your current site list. It maps your physical footprint into your agent's decision-making logic.

Vinkius handles the auth layer. Your agent only sees the specific object fields you allow through the tool definitions.

It acts as a bridge. You keep your current setup while adding the ability for your agent to read and write records programmatically.

We enforce strict schema isolation. Only the specific asset metadata you request leaves the encrypted Vinkius sandbox.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Asset Panda MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started