Oxylabs MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Oxylabs 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({
"oxylabs": {
"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 Oxylabs, 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 Oxylabs MCP Server
Give your AI agent the ability to extract structured data from any website with Oxylabs Web Scraping API. Scrape Google, Amazon, Bing, and Yandex with specialized parsers, or hit any arbitrary URL with the universal scraper — with optional headless browser rendering.
LangChain's ecosystem of 500+ components combines seamlessly with Oxylabs through native MCP adapters. Connect 10 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
- Universal Scraper — Extract HTML from any website. Enable JS rendering for single-page apps that require client-side execution
- Google Search — Parse Google SERPs with organic rankings, knowledge panels, ads, and featured snippets, localized by country TLD
- Google Shopping — Extract product listings with merchants, prices, reviews, and availability from Google Shopping
- Google Images — Pull image URLs, dimensions, and hosting origins from Google Image Search
- Google News — Extract time-indexed news articles with publishers and publication dates
- Amazon Search — Scrape Amazon product listings with ASINs, prices, Prime markers, and seller data across regional domains
- Amazon Product — Deep-extract individual product pages with variations, stock states, bullet points, and vendor hierarchies
- Bing Search — Parse Bing SERPs with organic web graph snippets
- Yandex Search — Extract rankings from the Yandex search engine for CIS/RU market analysis
- Custom Payload — Send fully customized Oxylabs schema payloads for advanced proxy and location configurations
The Oxylabs MCP Server exposes 10 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 Oxylabs to LangChain via MCP
Follow these steps to integrate the Oxylabs 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 10 tools from Oxylabs via MCP
Why Use LangChain with the Oxylabs MCP Server
LangChain provides unique advantages when paired with Oxylabs through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Oxylabs 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 Oxylabs queries for multi-turn workflows
Oxylabs + LangChain Use Cases
Practical scenarios where LangChain combined with the Oxylabs MCP Server delivers measurable value.
RAG with live data: combine Oxylabs tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Oxylabs, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Oxylabs tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Oxylabs tool call, measure latency, and optimize your agent's performance
Oxylabs MCP Tools for LangChain (10)
These 10 tools become available when you connect Oxylabs to LangChain via MCP:
scrape_amazon_product
Extract deep E-Commerce retail arrays extracting arbitrary Amazon ASINs
scrape_amazon_search
Perform structured data extraction looping over Amazon query listings
scrape_bing_serp
Calculate and extract structured Bing Search Web mappings
scrape_custom_payload
oxylabs.io/v1/queries` customizing Proxy Types, Locations and deeply nested config params. Dispatch entirely arbitrary strict Oxylabs Payload JSON structures
scrape_google_images
Parse and Scrape specific Google Image Search layout blocks
scrape_google_news
Export time-indexed News articles via Google News blocks
scrape_google_serp
Extract Google Search Engine Results Page (SERP) blocks structurally
scrape_google_shopping
Extract E-Commerce structures hitting Google Shopping engines
scrape_universal
oxylabs.io/v1/queries` endpoint mapping `source=universal`. Dynamically extracts raw remote HTML safely avoiding proxy blocks. Use `js_render=true` explicitly if the target SPA strictly requires client rendering. Scrape any arbitrary HTML website using Oxylabs Universal Scraper API
scrape_yandex_serp
Execute structural analysis indexing Yandex Search instances
Example Prompts for Oxylabs in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Oxylabs immediately.
"Search Google for 'best noise cancelling headphones 2024' and show me the top 5 organic results."
"Get the full product details for Amazon ASIN B0C8PSXB2M."
"Scrape the homepage of techcrunch.com with JavaScript rendering enabled."
Troubleshooting Oxylabs MCP Server with LangChain
Common issues when connecting Oxylabs to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOxylabs + LangChain FAQ
Common questions about integrating Oxylabs 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 Oxylabs 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 Oxylabs to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.