Can the AI generate a script with my actual proxy endpoints already inserted?

Yes. While prompting inside an IDE like Cursor, you can ask 'Write a Python script using my residential proxy endpoint.' The AI agent will call `list_residential_proxies` in the background, harvest the legit port numbers, and assemble runnable code on the spot.

Is it safe to pull network architecture metrics inside Claude AI?

Absolutely secure. The MCP protocol bridges interactions locally. At no setup phase does Vinkius cloud servers retrieve your Smartproxy metrics directly—the exchange passes via your local agent bridging right into Decodo's endpoint.

Can it tell me my remaining bandwidth limit?

Yes. Ask the bot 'How much target data do I have left?' and it will orchestrate the results of both `get_account_details` (which returns quota details) and `get_traffic_usage` (which exposes used data) to compute the remaining bytes in conversational form.

Decodo (Smartproxy) MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: Decodo (Smartproxy)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Decodo (Smartproxy) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Decodo (Smartproxy) Assistant",
            instructions=(
                "You help users interact with Decodo (Smartproxy). "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Decodo (Smartproxy)"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Decodo (Smartproxy) MCP Server

Connect your Decodo (Smartproxy) account to any AI agent to control your proxy endpoints, audit infrastructure, and track SERP/scraping data seamlessly. Interact with your server architecture and networking limits using natural language without jumping out of your IDE.

The OpenAI Agents SDK auto-discovers all 9 tools from Decodo (Smartproxy) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Decodo (Smartproxy), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Inventory Management — Effortlessly pull a list of active list_proxy_endpoints, list_datacenter_proxies, and list_residential_proxies
Live Bandwidth Monitoring — Run get_traffic_usage directly inside the AI prompt to see if you are about to hit your monthly data quota cap
Bot Statistics — Evaluate the health of your bots automatically by checking get_scraper_stats for eCommerce and SERP scrapers
Reselling & Accounts — Generate your list_subscriptions details, retrieve your general account health, or list all nested sub-users associated with the account

The Decodo (Smartproxy) MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Decodo (Smartproxy) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Decodo (Smartproxy) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 9 tools from Decodo (Smartproxy)

Why Use OpenAI Agents SDK with the Decodo (Smartproxy) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Decodo (Smartproxy) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Decodo (Smartproxy) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Decodo (Smartproxy) MCP Server delivers measurable value.

Automated workflows: build agents that query Decodo (Smartproxy), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Decodo (Smartproxy), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Decodo (Smartproxy) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Decodo (Smartproxy) to resolve tickets, look up records, and update statuses without human intervention

Decodo (Smartproxy) MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect Decodo (Smartproxy) to OpenAI Agents SDK via MCP:

get_account_details

Retrieves Smartproxy account information

get_scraper_stats

Retrieves statistics for scraping APIs

get_traffic_usage

Retrieves traffic usage statistics

list_datacenter_proxies

Lists datacenter proxy configurations

list_dedicated_proxies

Lists dedicated proxy assignments

list_proxy_endpoints

Lists available proxy endpoints

list_residential_proxies

Lists residential proxy configurations

list_sub_users

Lists all proxy sub-users

list_subscriptions

Lists active proxy subscriptions

Example Prompts for Decodo (Smartproxy) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Decodo (Smartproxy) immediately.

"Find all of our active datacenter proxy endpoints."

"Use Decodo and query my scraping success rate summary."

"Have we exceeded the traffic usage on the account?"

Troubleshooting Decodo (Smartproxy) MCP Server with OpenAI Agents SDK

Common issues when connecting Decodo (Smartproxy) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Decodo (Smartproxy) + OpenAI Agents SDK FAQ

Common questions about integrating Decodo (Smartproxy) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.