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How to Use the Zuplo MCP in OpenAI Agents SDK

Manage API gateways and edge deployments with your AI client using the OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Zuplo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zuplo 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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Monitor Zuplo's Edge Metrics

The `get_metrics` tool pulls real-time operational data from Zuplo. You see exactly how much traffic is hitting your edge deployments and which consumers are active. This gives you the visibility needed to spot bottlenecks fast. It’s critical for keeping your production agent system stable.

Manage Project Deployments

Need to roll out changes? Use `list_deployments` to see all current Zuplo deployments tied to a project. You can confirm which versions are live before telling the agent to switch traffic. This process lets your agents safely manage updates, ensuring that every new feature doesn't break existing consumer API keys.

Identify Project Configurations

When you use `list_files`, Zuplo shows all configuration files associated with a project. This means your agent can check setup details without needing manual logins. It’s perfect for validation steps, letting the system confirm that environment variables or service endpoints are set correctly across different projects.

Setup guide

Set up Zuplo 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 Zuplo tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zuplo 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 Zuplo 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="Zuplo Agent",
            instructions="You have access to Zuplo 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 Zuplo. 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.

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 Zuplo MCP in OpenAI Agents SDK

Zuplo exposes all its management tools as callable functions for your agent. When you run a task, the agent decides which tool to call—like `list_consumers` or `create_deployment`—and passes the necessary arguments.
This MCP Server manages API gateway metadata, including consumer API keys, deployment identifiers, and project configurations. It deals with structured resource definitions for your applications.
Absolutely. The `list_environments` tool lets your agent see if the project has 'dev', 'staging', or 'production' contexts set up. This control is key for safe, phased rollouts.
You call `list_projects` to get a full inventory of every project managed by the MCP Server. Your agent uses this list to narrow down where it needs to perform actions, keeping everything targeted.
Yes. Because the tools auto-discover, your agents can use any function like `delete_consumer` or `list_custom_domains` right out of the box after you configure the server.

Start using the Zuplo MCP today

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