Oxylabs SERP MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Oxylabs SERP 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-serp": {
"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 SERP, 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 SERP MCP Server
Bring the Oxylabs SERP Scraper API directly into your AI workflows. Perform high-volume, structured data extraction across all major search engines without worrying about proxy rotation, CAPTCHAs, or HTML parsing.
LangChain's ecosystem of 500+ components combines seamlessly with Oxylabs SERP 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
- Google Ecosystem — Extract parsed data from Google Search (organic, snippets), Google Images, Google News, Google Shopping, Google Scholar, and Google Travel/Hotels
- Bing Search — Extract organic search rankings and rich snippets from Microsoft Bing
- Yandex Search — Scrape the leading Russian search engine for regional SEO analysis
- Baidu Search — Extract search engine results pages from China's leading search provider
- YouTube Search — Parse video rankings, channel details, and views from YouTube search results
The Oxylabs SERP 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 SERP to LangChain via MCP
Follow these steps to integrate the Oxylabs SERP 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 SERP via MCP
Why Use LangChain with the Oxylabs SERP MCP Server
LangChain provides unique advantages when paired with Oxylabs SERP through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Oxylabs SERP 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 SERP queries for multi-turn workflows
Oxylabs SERP + LangChain Use Cases
Practical scenarios where LangChain combined with the Oxylabs SERP MCP Server delivers measurable value.
RAG with live data: combine Oxylabs SERP tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Oxylabs SERP, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Oxylabs SERP tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Oxylabs SERP tool call, measure latency, and optimize your agent's performance
Oxylabs SERP MCP Tools for LangChain (10)
These 10 tools become available when you connect Oxylabs SERP to LangChain via MCP:
baidu_search
Inspect deep internal arrays mitigating specific Plan Math
bing_search
Dispatch an automated validation check routing explicit Gateway history
google_images_search
Perform structural extraction of properties driving active Account logic
google_news_search
Provision a highly-available JSON Payload generating hard Customer bindings
google_scholar_search
Irreversibly vaporize explicit validations extracting rich Churn flags
google_search
Identify bounded CRM records inside the Headless Oxylabs SERP Platform
google_shopping_search
Retrieve explicit Cloud logging tracing explicit Vault limits
google_travel_search
Enumerate explicitly attached structured rules exporting active Billing
yandex_search
Identify precise active arrays spanning native Gateway auth
youtube_search
Identify precise active arrays spanning native Hold parsing
Example Prompts for Oxylabs SERP in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Oxylabs SERP immediately.
"Search Google for 'best enterprise LLMs' and summarize the top organic results."
"Check Google Travel for hotels in Tokyo next weekend."
"Search YouTube for 'Next.js 15 tutorials'."
Troubleshooting Oxylabs SERP MCP Server with LangChain
Common issues when connecting Oxylabs SERP to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOxylabs SERP + LangChain FAQ
Common questions about integrating Oxylabs SERP 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 SERP 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 SERP to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.