How to Use the Decodo (Smartproxy) MCP in AutoGen

Let your AutoGen agents debate and negotiate proxy configurations using real-time Decodo data.

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Connect Decodo (Smartproxy) MCP to AutoGen

Create your Vinkius account to connect Decodo (Smartproxy) to AutoGen 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 AutoGen

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Enable multi-agent proxy negotiation

Assign one agent to monitor `get_traffic_usage` while another focuses on `list_subscriptions`. They debate whether to upgrade your plan based on current consumption trends. This consensus-driven approach prevents rash decisions. The agents check the data and agree on the best course of action before executing any changes.

Debate proxy endpoint selection in AutoGen

Use `list_proxy_endpoints` as a shared data source for your agents. They discuss which endpoint best fits the security requirements of your current task. Your agents challenge each other's assumptions about latency and reliability. They converge on the optimal proxy choice through iterative conversation.

Audit proxy assignments with AutoGen

Deploy an auditor agent to call `list_dedicated_proxies` and compare the results with your task list. If it flags a discrepancy, it debates the issue with your execution agent. This internal check ensures your infrastructure remains consistent. The agents resolve conflicts by verifying the live state of your proxy assignments.

Setup guide

Set up Decodo (Smartproxy) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Decodo (Smartproxy) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Decodo (Smartproxy)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Decodo (Smartproxy) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Decodo (Smartproxy)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Decodo (Smartproxy) data")
    print(result.messages[-1].content)

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 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 AutoGen

You pass the tools directly into your AssistantAgent constructor. The McpToolAdapter handles the communication so your agents can discuss proxy data in real time.

Yes, multiple agents can debate the best proxy strategy based on the data retrieved from your account. They weigh performance against cost before settling on a decision.

Vinkius manages the transport layer with a secure endpoint token. Your proxy configuration data is never shared outside of your isolated agent conversation.

You just need the autogen-ext package and the server URL. The adapter automatically maps the tools so your agents can call them during their debates.

Your account details are accessed through a zero-trust, ephemeral sandbox. No raw credentials are stored in your AutoGen agent state; only the tool results persist.

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