How to Use the Decodo (Smartproxy) MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK connect to the Decodo (Smartproxy) MCP server?

You just need to instantiate the MCPServerStreamableHttp class with your Vinkius endpoint URL. Pass that server instance to your Agent constructor, and it automatically discovers all the Decodo (Smartproxy) tools.

Q: What if I only want my agent to read data and not change anything?

All the tools on this server are read-only (get, list). Your agent can't modify your Decodo (Smartproxy) account with this MCP server, it can only query information.

Manage your Decodo (Smartproxy) network inside production Python agents with the OpenAI Agents SDK.

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Connect Decodo (Smartproxy) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Decodo (Smartproxy) 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 Decodo (Smartproxy) with OpenAI Agents SDK

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Check Proxy Status and Usage

The `get_scraper_stats` and `get_traffic_usage` tools give your agent direct access to your Decodo (Smartproxy) consumption data. You can build agents that monitor bandwidth and scraping activity, then trigger alerts or scale resources automatically. No more manual dashboard checks. Because the OpenAI Agents SDK has built-in guardrails, you can safely let your agent check this data without risking unintended actions. The framework validates the agent's plan before it ever calls the Decodo API, giving you a safety net for production systems.

Manage Your Proxy Inventory with this MCP Server

This MCP Server lets your agent list every type of proxy in your account. Use `list_datacenter_proxies`, `list_residential_proxies`, or `list_dedicated_proxies` to get a full inventory. Your agent can then use this data to find the right endpoint for a specific task. With the OpenAI dashboard's tracing, you'll see every call your agent makes to the Decodo server. This makes debugging easy when an agent picks the wrong proxy or can't find a specific configuration. You get full visibility into the agent's reasoning.

Administer Users and Subscriptions

Give your agent the ability to manage account-level details. The `list_sub_users` tool lets it see who has access, while `list_subscriptions` checks the status of your active plans. It's a simple way to automate account audits. This is perfect for building specialized agents that you hand tasks off to. For example, one agent could handle the proxy inventory while another, more restricted agent, only handles billing and user audits. The SDK's design makes this separation clean.

Setup guide

Set up Decodo (Smartproxy) 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 Decodo (Smartproxy) tools at runtime.
3

Create your Agent

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

Run the agent

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

You just need to instantiate the `MCPServerStreamableHttp` class with your Vinkius endpoint URL. Pass that server instance to your Agent constructor, and it automatically discovers all the Decodo (Smartproxy) tools.

Yes. The OpenAI Agents SDK has full tracing support through the OpenAI dashboard. Every tool call your agent makes to the Decodo (Smartproxy) MCP Server is logged, so you have a complete audit trail.

It's designed for production safety. The SDK includes guardrails that require the agent to form a plan and get it validated before it executes any tool calls. This prevents your agent from making unexpected changes to your proxy configurations.

All the tools on this server are read-only (`get_*`, `list_*`). Your agent can't modify your Decodo (Smartproxy) account with this MCP server, it can only query information.

Your Vinkius endpoint token is the only credential needed. This server only accesses Decodo (Smartproxy) account details, proxy configurations, and usage statistics. Vinkius runs each MCP server in an ephemeral, sandboxed environment, and all connections are encrypted.

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