Decodo (Smartproxy) MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Decodo (Smartproxy) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"decodo-smartproxy": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Decodo (Smartproxy), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Decodo (Smartproxy) through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Inventory Management — Effortlessly pull a list of active
list_proxy_endpoints,list_datacenter_proxies, andlist_residential_proxies - Live Bandwidth Monitoring — Run
get_traffic_usagedirectly 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_statsfor eCommerce and SERP scrapers - Reselling & Accounts — Generate your
list_subscriptionsdetails, 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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Decodo (Smartproxy) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Decodo (Smartproxy) via MCP
Why Use LangChain with the Decodo (Smartproxy) MCP Server
LangChain provides unique advantages when paired with Decodo (Smartproxy) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Decodo (Smartproxy) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Decodo (Smartproxy) queries for multi-turn workflows
Decodo (Smartproxy) + LangChain Use Cases
Practical scenarios where LangChain combined with the Decodo (Smartproxy) MCP Server delivers measurable value.
RAG with live data: combine Decodo (Smartproxy) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Decodo (Smartproxy), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Decodo (Smartproxy) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Decodo (Smartproxy) tool call, measure latency, and optimize your agent's performance
Decodo (Smartproxy) MCP Tools for LangChain (9)
These 9 tools become available when you connect Decodo (Smartproxy) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Decodo (Smartproxy) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDecodo (Smartproxy) + LangChain FAQ
Common questions about integrating Decodo (Smartproxy) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Decodo (Smartproxy) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Decodo (Smartproxy) to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.