How to Use the Decodo (Smartproxy) MCP in LangChain

Q: Can my LangChain agent automate Decodo (Smartproxy) sub-user management?

Yes, the agent uses the listsubusers tool to audit or modify your user list. It executes these actions based on the logic you write into your LangChain workflow.

Build multi-step proxy management chains in LangChain with real-time data from your Decodo network.

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Connect Decodo (Smartproxy) MCP to LangChain

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain proxy data into agent workflows

Pipe `get_account_details` outputs directly into your reasoning chains to trigger automated infrastructure changes. Your agent evaluates the current account status and decides the next move without manual intervention. This setup creates a feedback loop where `list_proxy_endpoints` results dictate how subsequent chain links handle traffic. You get full visibility into every decision point through your existing tracing setup.

Automate traffic monitoring with LangChain

Feed `get_traffic_usage` data into a persistent chain to trigger alerts or scaling events. The agent monitors your bandwidth consumption and adjusts proxy usage based on your defined logic. Connect these statistics to your vector stores to compare current usage against historical patterns. Your agent handles the math, leaving you to focus on the overall infrastructure health.

Manage proxy assignments at scale

Let your agent iterate through `list_dedicated_proxies` and `list_residential_proxies` to audit your current assignments. It flags misconfigurations or expired subscriptions by comparing live data against your internal records. Use this MCP tool to keep your agent informed about available resources. The agent updates your database entries whenever it detects a change in your proxy pool.

Setup guide

Set up Decodo (Smartproxy) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Decodo (Smartproxy) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "decodo-smartproxy-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Decodo (Smartproxy) transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

You connect the server using the MultiServerMCPClient via HTTP. Once connected, your agent gains direct access to the proxy toolset within your existing chains.

Yes, the agent uses the `list_sub_users` tool to audit or modify your user list. It executes these actions based on the logic you write into your LangChain workflow.

Vinkius handles authentication through a single endpoint token, ensuring your credentials never touch the agent directly. We process your proxy traffic stats and account details in an isolated V8 sandbox.

You just need to install the adapter packages and point the client to your Vinkius endpoint. It maps the tools into your agent environment automatically.

No, the agent only receives temporary, scoped tool access. It interacts with your proxy infrastructure through the server without ever seeing your private keys.

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