Oxylabs SERP MCP. Structure Global Search Data for Your Agent
Oxylabs SERP gives your AI agent direct access to structured search engine data from every major global source. Scrape and parse results—including Google Shopping listings, Bing rankings, Yandex SEO insights, and YouTube video details—without worrying about CAPTCHAs or proxy limits. It turns complex, multi-source market research into a simple prompt.
Give Claude and any AI agent real-world access
Identify organic search results and rich snippets across multiple international engines like Google, Bing, and Yandex.
Extract structured details on products, including pricing and availability from platforms like Google Shopping.
Pull rankings, channel names, view counts, and metadata specifically from YouTube searches.
Retrieve structured data from Google News or detailed research papers using Google Scholar.
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What AI agents can do with Oxylabs SERP: 10 Search Data Tools
Use these tools to extract structured search engine results and data points across every major global platform.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Oxylabs SERP MCPBaidu Search
Performs structured search data extraction from Baidu, China's leading search engine.
Bing Search
Retrieves automated validation checks and structured results from Microsoft Bing...
Google Search
Identifies core data records and organic search snippets directly from the Google...
Google Images Search
Extracts structured metadata about images found during a Google Image search.
Google News Search
Generates JSON payloads containing news articles and headlines from global sources...
Google Scholar Search
Pulls academic search results, publication details, and research paper information from Google Scholar.
Google Shopping Search
Retrieves structured product listings, including pricing and availability, from Google Shopping.
Google Travel Search
Lists structured rules containing hotel rates and details found on Google Travel.
Yandex Search
Performs comprehensive search result data extraction specifically for the Yandex...
Youtube Search
Identifies video rankings, channel details, and view counts from YouTube searches.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Oxylabs SERP, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Oxylabs SERP. 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.
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The Problem with Global SEO Research
Today, checking global keyword performance means opening Google in one window, Bing in another, and then hopping over to a specialized tool for Yandex. You copy the top links from each site into separate spreadsheets, spending hours just aggregating raw data before you even start analyzing it.
With this MCP, your agent runs those searches across all major engines simultaneously. It doesn't just give you links; it gives you structured JSON containing everything: the title, snippet text, and URL for every result you need. You get actionable intelligence in minutes.
Structured Search Data Extraction with Oxylabs SERP
Manual scraping involves dealing with JavaScript rendering issues, rotating proxies, and the constant risk of hitting a CAPTCHA wall. You're always playing catch-up with search engine anti-bot measures.
This MCP bypasses those headaches entirely. It delivers clean, reliable data payloads every time you run `google_search` or `baidu_search`. The result is stable, consistent input for your AI workflow.
What Oxylabs SERP MCP does for your AI
This MCP connects your AI agent directly to the structured data feeds of the world's leading search engines. You no longer have to open ten different browser tabs and copy-paste results manually. Instead, you tell your agent what kind of data you need—say, product pricing or video views across multiple regions—and it handles the heavy lifting.
It pulls clean, structured information from Google Search (organic listings, images, news), Bing, Yandex, Baidu, and YouTube. This means whether you're tracking competitor rankings worldwide or analyzing academic research trends, your agent gets a unified data payload. You can run this MCP through any compatible client like Claude or Cursor; it all connects via Vinkius, the #1 catalog of external services.
This lets SEO teams monitor keyword performance across dozens of global domains in minutes. Market researchers use it to check hotel rates on Google Travel or analyze product listings from Google Shopping. The result is clean JSON data ready for analysis, saving hours of manual scraping and ensuring you always have structured, reliable search intelligence.
019d75ed-9896-70fb-8c69-3b6364b62d37 How to set up Oxylabs SERP MCP
The bottom line is you get machine-readable data from complex web pages without ever writing a scraper script.
First, connect your AI agent to the MCP by providing your Oxylabs Username and Password.
Next, prompt your agent with a specific request, such as 'Find the top 5 results for X on Google Shopping' or 'List the video rankings for Y on YouTube'.
The MCP executes the search through the correct tool, returning structured JSON data containing all the requested titles, links, and metadata.
Who uses Oxylabs SERP MCP
This MCP is for anyone whose job depends on knowing what people are searching for, and where. If your workflow involves monitoring competitors or tracking global trends across multiple search engines, this is essential.
Uses the MCP to check keyword performance against rivals globally by calling tools like google_search and yandex_search simultaneously.
Runs structured data checks on pricing, hotel rates (using google_shopping_search or google_travel_search), and competitor product listings across different countries.
Analyzes video content performance by running searches through the youtube_search tool to see what kinds of videos are trending for a topic.
Benefits of connecting Oxylabs SERP MCP
Go beyond simple keyword checks. Use google_shopping_search to automatically monitor competitor pricing and product availability across multiple listings.
Save time by running multi-regional analyses. Check the same topic against Google, Bing, and Yandex simultaneously using their respective tools for a full global view.
Analyze content performance instantly. Run searches through youtube_search to gather video views, top channels, and metadata without manual effort.
Deepen your research scope. Combine academic findings from google_scholar_search with market data from google_news_search into one workflow.
Avoid the pain of CAPTCHAs or rate limits. This MCP handles proxy rotation and structured parsing, letting your agent do the dirty work 24/7.
Oxylabs SERP MCP use cases
Checking global competitor pricing
A market analyst needs to know if a rival's flagship product is cheaper in Brazil or Germany. They ask their agent to run google_shopping_search for the product on both local domains, getting structured data points like price and seller name instantly.
Tracking brand news coverage
A PR team needs a daily digest of how their brand is being covered. They prompt their agent to execute google_news_search for the last 24 hours, receiving structured data that includes article titles and source domains.
Assessing video content gaps
A digital marketing team wants to see what educational videos are popular in a niche. They run youtube_search for 'advanced AI tutorials' and analyze the top results, identifying missing topics or underserved keywords.
Monitoring competitor hotel rates
A travel agency needs real-time pricing data for a key destination. They use google_travel_search to check multiple hotels in one query, getting structured JSON with nightly rates and star ratings.
Oxylabs SERP MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Manually checking results
Opening Google, then Bing, then Yandex in separate tabs. Copying the top 3 links from each into a spreadsheet.
Ask your agent to run google_search, followed by bing_search and yandex_search. The MCP compiles all three sets of structured results into one clean payload.
Using only organic search
Only running a general Google search and missing out on commercial intent data like product pricing or hotel rates.
Expand your query. If you need commerce data, use google_shopping_search. If you're tracking lodging, call the google_travel_search tool.
Ignoring regional variations
Assuming a keyword rank in the US applies to China or Russia. Getting inaccurate data because of geography.
Use specialized tools like baidu_search for China and yandex_search for Russian analysis to ensure accurate, regionally specific results.
When to use Oxylabs SERP MCP
Use this MCP if your primary need is structured data extraction from the search engine results page (SERP) itself. You want machine-readable JSON containing titles, links, and metadata across multiple global sources like google_search, bing_search, or youtube_search. It's built for scale, not casual browsing.
Don't use this if you just need to write a blog post or summarize general web knowledge. If your goal is conversational writing or conceptual brainstorming, a standard LLM chat window will handle it better. Also, don't use this if you only care about the content of a single website; if you need deep site navigation or form filling, look into dedicated web crawling tools instead.
Frequently asked questions about Oxylabs SERP MCP
How does Oxylabs SERP handle multiple countries? +
It handles global domains by providing dedicated tools. You can use google_search for standard Google data, or specialized tools like baidu_search and yandex_search to target specific regional search engines.
Can I scrape product listings with Oxylabs SERP? +
Yes. Use the google_shopping_search tool to retrieve structured data on products, including pricing and seller details from Google Shopping.
Is Oxylabs SERP useful for video content analysis? +
Absolutely. The dedicated youtube_search tool lets you pull key metadata—like view counts, channel names, and top titles—from YouTube search results automatically.
Does this MCP just provide links, or is the data structured? +
It provides highly structured JSON payloads. You get parsed snippets, not raw HTML. This makes the data immediately usable by your agent for analysis.
Which tool should I use to check hotel prices? +
Use the google_travel_search tool. It is specifically designed to enumerate and export structured rules containing active billing and hotel details from Google Travel.