SERPHouse MCP. Scrape Live Google & Bing Search Data
SERPHouse MCP grants your agent live access to Google and Bing search engine results pages (SERPs). It scrapes organic search data, dynamic product pricing from shopping tabs, news articles, image sets, and scholarly research across major platforms.
Give Claude and any AI agent real-world access
It performs standard Google searches while supporting specific parameters like location and language.
The agent can scrape current product listings and dynamic pricing data directly from Google Shopping.
Your client can query specific content areas like images, videos, news articles (on both Google and Bing), or academic journals.
It lists the precise location IDs needed for targeted SERP queries, ensuring regional accuracy.
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What AI agents can do with SERPHouse MCP with 11 Tools
These tools allow your AI client to perform specific, real-time queries across various search engine platforms and content types.
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 SERPHouse MCPGet Account Info
Retrieves basic operational details about your SERPHouse account.
Google News
Finds the latest news articles available through Google's search index.
Bing Images
Searches Bing for visual content using provided keywords and parameters.
Google Images
Searches Google for visual content based on keywords.
Google Scholar
Performs focused searches for academic papers and scholarly sources on Google...
Google Search
Executes a general search query across Google, supporting advanced filters like location or language.
Google Shopping
Queries Google Shopping to pull product listings and associated dynamic pricing data.
Google Videos
Searches for video content available on Google platforms.
Bing News
Retrieves the latest news articles available through Bing's search index.
Bing Search
Performs a general web search query across Bing.
List Locations
Provides a list of geographical locations supported for running SERP queries.
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 SERPHouse, 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 Serphouse API. 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
Manually tracking market trends and pricing used to be a full-time job.
Before this MCP, gathering comprehensive market data was brutal. You'd have to open Google Shopping, search for Product A; then switch tabs to Bing Shopping for the same product; then manually copy prices from three different pages into a spreadsheet. If you needed news coverage or academic background, that meant another hour of switching between browser windows and running keyword searches.
Now, your agent handles all that mess. You prompt it once—'Compare Model X pricing across US and UK.' It executes the necessary calls to google_shopping using the right location IDs and compiles a clean, structured output for you. The sheer amount of manual clicking disappears.
SERPHouse MCP delivers live search result data.
You never have to worry about forgetting which tool handles what. No more remembering whether to use google_images for pictures or google_videos for multimedia content. The entire spectrum of Google and Bing media types is available via specific tools like google_scholar, bing_news, and google_shopping.
The result is that your AI agent operates with the full power of the public web at its fingertips, giving you access to live data streams instead of static reports.
What SERPHouse MCP does for your AI
Need your AI client to see what the web actually looks like right now? This MCP gives it direct access to Google and Bing's real-time SERP data. Instead of relying on outdated or general knowledge, your agent can scrape live organic results, track product pricing on Google Shopping, or pull current news headlines from Bing News.
The system handles proxy rotation and complex queries so you don't get blocked by search engines.
This means your AI doesn't just talk about market trends; it pulls the data backing them up. Whether you need scholarly articles via Google Scholar or video content through Google Videos, this MCP makes that information available to your agent. When you connect SERPHouse via Vinkius, you get one central point of access for all these search capabilities, letting your workflow move from conceptualizing a query to extracting structured data in minutes.
019d7606-71fc-7391-bb49-b069d96c8c09 How to set up SERPHouse MCP
The bottom line is you get real-time web data pulled into your workflow, bypassing static knowledge limitations.
First, specify the search engine (Google or Bing) and the content type you want to query—for example, 'shopping' or 'news'.
Next, if necessary, provide location parameters or advanced search terms; the MCP uses internal IDs to target specific geographical areas.
Finally, your agent executes the request and returns structured data containing the live results, titles, snippets, and metadata.
Who uses SERPHouse MCP
This MCP is for the digital researcher or e-commerce analyst who gets frustrated when their AI agent can't access current market data. If you need to compare live pricing across regions or track breaking news immediately, this tool saves hours of manual web scraping.
Uses the MCP to run comparative searches on Google Shopping and Bing Search to identify price discrepancies for competitors in specific markets.
Runs targeted queries using google_search or bing_search, then analyzes the results to understand how location parameters affect organic visibility.
Pulls academic insights via google_scholar and current event trends using google_news to build comprehensive background reports for clients.
Benefits of connecting SERPHouse MCP
Get real-time, actionable data. Instead of relying on what your AI client 'knows,' you get direct access to current search results and live pricing using google_shopping.
Target specific content types easily. Need academic context? Use google_scholar for deep research; need visual evidence? Run a query with google_images or bing_images.
Handle global scope effortlessly. The tool supports location parameters, letting you ask the AI to compare trends between different countries using advanced search capabilities.
Avoid data blockages. This MCP is engineered for proxy rotation, meaning your agent can run complex queries repeatedly without triggering Captcha blocks.
Compare multiple platforms side-by-side. You can query news on both Google News and Bing News in the same workflow to compare coverage instantly.
SERPHouse MCP use cases
Tracking competitor pricing changes
An e-commerce manager needs to monitor if a key competitor is dropping prices. They ask their agent to run google_shopping queries for a specific product category across three different locations, generating a live price comparison matrix.
Assessing breaking news coverage
A PR agency needs instant visibility into how an event is being covered globally. They deploy the agent to run bing_news and google_news for the same keywords, summarizing the top 10 headlines from both sources.
Conducting academic literature reviews
A PhD student needs to find all recent papers on a niche topic. They prompt their agent using google_scholar, instructing it to filter results by publication date and citation count for the last five years.
General market intelligence gathering
A consultant wants a broad understanding of consumer interest in a new product. They use google_search with location parameters to see what consumers are asking about, combining general search data and image results.
SERPHouse MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Asking for generalized web knowledge
Prompting the AI client: 'What is the current price of Model X?' The agent responds with a generic, potentially outdated, or non-existent number.
Use google_shopping to query the product directly. This forces your agent to scrape live, dynamic pricing data and gives you the accurate, up-to-the-minute figure.
Forgetting about regional differences
Running a search for 'best hiking boots' without specifying a location, leading to results from only one region (like the US) when data for Europe is needed.
First call list_locations to get valid IDs. Then use google_search or bing_search with these specific parameters to ensure your query targets the right geographical market.
Mixing up search types
Trying to find a product price by running only a general google_search, which will just show links and text snippets, not structured pricing data.
You must use the specialized tool. For products, always call google_shopping. This ensures the agent retrieves structured JSON containing SKU and current cost.
When to use SERPHouse MCP
Use this MCP if your workflow absolutely requires real-time, volatile data directly from major search engines. If you need to know what people are searching for right now, or if product pricing changes daily, this is your tool. You must use it when comparing results across multiple platforms (e.g., Google vs Bing) or scraping structured content like shopping listings.
Don't use this MCP if you only need general knowledge retrieval—for that, a standard LLM call works fine. Also, don't use it if your primary goal is analyzing internal documents; for that, a document indexing tool is better. If you simply want to read an article from a specific URL without searching for it first, then a simple web scraping API might suffice. But if the data must come through a search engine interface, SERPHouse is what you need.
Frequently asked questions about SERPHouse MCP
How does SERPHouse MCP handle geographical location targeting? +
It uses specific location IDs. You first call list_locations to get the supported codes, then you pass those identifiers into tools like google_search or bing_search to ensure results are correctly scoped.
Can SERPHouse MCP scrape product data from different retailers? +
Yes. By using google_shopping, your agent queries the indexed shopping listings across various platforms, providing dynamic pricing information that changes in real time.
Is this MCP just for general Google searches? +
No. It offers specialized tools beyond basic search. You can use google_scholar for academic papers or google_news/bing_news for current events, giving you deep domain access.
What if I need to compare news coverage from Google and Bing? +
You simply run two separate calls: one using google_news and another using bing_news. Your agent then aggregates and compares the resulting headlines for you in a single output.
Can SERPHouse MCP handle complex search parameters? +
Yes, tools like google_search support advanced filters such as 'location' and 'lang', allowing highly targeted queries that go beyond simple keywords.
How does SERPHouse handle the rotation of IP proxies and blocks? +
The SERPHouse API backend completely abstracts the proxy-network infrastructure. Your agent simply supplies queries (e.g., google_search), and the API intercepts these actions seamlessly, bouncing globally using elite endpoints to avoid Captchas.
Is the location fetching dynamic? How do I target a specific country search? +
Yes. Instruct your AI to retrieve overarching ID bounds leveraging the list_locations directory by passing a string fragment. The obtained taxonomy parameter guarantees local precision on your following google_search attempts.