Oxylabs SERP MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Oxylabs SERP as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Oxylabs SERP. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Oxylabs SERP?"
)
print(response)
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.
LlamaIndex agents combine Oxylabs SERP tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Oxylabs SERP MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Oxylabs SERP
Why Use LlamaIndex with the Oxylabs SERP MCP Server
LlamaIndex provides unique advantages when paired with Oxylabs SERP through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Oxylabs SERP tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Oxylabs SERP tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Oxylabs SERP, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Oxylabs SERP tools were called, what data was returned, and how it influenced the final answer
Oxylabs SERP + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Oxylabs SERP MCP Server delivers measurable value.
Hybrid search: combine Oxylabs SERP real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Oxylabs SERP to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Oxylabs SERP for fresh data
Analytical workflows: chain Oxylabs SERP queries with LlamaIndex's data connectors to build multi-source analytical reports
Oxylabs SERP MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Oxylabs SERP to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Oxylabs SERP to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOxylabs SERP + LlamaIndex FAQ
Common questions about integrating Oxylabs SERP MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.