How to Use the Marketplacer (Enterprise Marketplace Platform) MCP in OpenAI Agents SDK

Q: What happens when an agent tries to edit a product?

The agent uses listadverts and graphqlquery to read and update listings. The MCP guardrails validate the agent's proposed payload against the Marketplacer API schema before sending the request.

Run your Marketplacer catalog and order workflows with built-in guardrails using the OpenAI Agents SDK.

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Connect Marketplacer (Enterprise Marketplace Platform) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Marketplacer (Enterprise Marketplace Platform) 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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Setup Marketplacer (Enterprise Marketplace Platform) with OpenAI Agents SDK

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Audit vendor networks with OpenAI Agents SDK

This Marketplacer MCP Server lets your OpenAI agents pull vendor data directly into your automated workflows. The agent calls `list_sellers` to verify vendor registration, checking compliance metrics without human intervention. Because the OpenAI Agents SDK provides full tracing via its dashboard, you see every single API handshake. You don't have to guess why an agent flagged a vendor; the raw data is right there in the logs.

Reconcile financial records automatically

The `list_invoices` and `get_invoice` tools expose your transactional data directly to your autonomous agents. Your agents pull order details to reconcile payouts, flagging discrepancies before they hit your ledger. You set up specialized agents that hand off tasks to one another. One agent gathers the invoice list, while another pulls specific node details to verify payment status, keeping your financial pipeline clean.

Sync product catalogs via GraphQL

This MCP Server exposes a flexible `graphql_query` tool alongside `list_adverts` to handle complex catalog updates. Your agent queries the exact product fields needed, avoiding massive payload overhead. The SDK caches these tool definitions when you set `cacheToolsList=True` during initialization. This keeps your agent fast and responsive, even when scanning thousands of product listings across different categories.

Setup guide

Set up Marketplacer (Enterprise Marketplace Platform) 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 Marketplacer (Enterprise Marketplace Platform) tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Marketplacer. 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 Marketplacer (Enterprise Marketplace Platform) MCP in OpenAI Agents SDK

Spin up the MCP Server using the streamable HTTP parameters. Pass the server URL into your Python code using `MCPServerStreamableHttp` and register it in the `mcp_servers` list of your Agent constructor.

Yes. You control tool exposure at the agent level during initialization. The SDK automatically discovers the tools you expose, like `list_webhooks` or `list_categories`, based on your server configuration.

The SDK auto-discovers the schema at runtime. If we add new fields to `get_advert` or update `list_shipments`, your agents pick up the changes on their next run without code rewrites.

The agent uses `list_adverts` and `graphql_query` to read and update listings. The MCP guardrails validate the agent's proposed payload against the Marketplacer API schema before sending the request.

The server runs in a secure, ephemeral V8 isolate that handles authentication tokens locally. Your invoice numbers, seller tax IDs, and product prices never pass through external intermediate logging servers.

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