# Scale SERP MCP > Scale SERP MCP equips your AI client with real-time access to Google Search data. It handles complex scraping tasks, allowing you to run structured queries for organic results, news articles, shopping prices, and scholarly papers effortlessly. Your agent gets live web data without needing complicated coding or worrying about anti-bot blocks. ## Overview - **Category:** marketing-automation - **Price:** Free - **Tags:** search-api, google-search, real-time-data, seo-data, data-parsing, web-crawling ## Description This MCP connects your AI client directly to the full breadth of Google Search. You can ask your agent to pull real-time data across text results, images, videos, news feeds, and more. Forget manual searching; you just define what you need—like competitor pricing or academic citations—and your agent executes it. This system takes care of IP rotation and CAPTCHAs, so all you do is request structured information. You can analyze local businesses using the Google Places tool, track trends with predictive auto-complete lookups, or gather scholarly articles via Google Scholar. Because Vinkius hosts this MCP in its catalog, your agent gets access to all these specialized search capabilities from one place, making it a central data hub for any complex research project. ## Tools ### custom_search Performs a highly tailored Google search using specific parameters. ### google_autocomplete Retrieves suggested phrases that users commonly type into Google searches. ### google_images Searches for and retrieves image results from across the web via Google Images. ### google_news Gathers current articles and headlines specifically from Google News. ### google_organic Performs a standard, full-text search across the general web, allowing you to specify a query and location. ### google_places Searches for physical locations and local businesses, providing contact details and ratings from Google Maps. ### google_related_questions Pulls the 'People Also Ask' section of a search result to reveal related user questions. ### google_scholar Executes dedicated searches for peer-reviewed academic journals and research papers. ### google_shopping Searches product listings across Google Shopping, ideal for tracking price changes and availability. ### google_videos Performs a search focused exclusively on video content available through Google. ## Prompt Examples **Prompt:** ``` Run a Google Scholar search for 'machine learning in agriculture' and summarize the top 3 papers. ``` **Response:** ``` I've fetched the top results from Google Scholar. Here are the summaries of the top 3 highly cited papers from the last 5 years: 1) 'Deep Learning for Crop Yield Prediction' - explores neural networks analyzing satellite images. 2) 'Smart Agriculture Frameworks' - discusses IoT sensors combined with ML. 3) 'Pest Detection models' - focuses on computer vision models to identify crop diseases. ``` **Prompt:** ``` Find restaurants near Times Square via Google Places. ``` **Response:** ``` I retrieved 5 top-rated restaurants near Times Square from Google Places: Carmine's Italian (4.5 stars, 12K reviews), Junior's Restaurant (4.4 stars), Joe's Pizza (4.6 stars), Le Bernardin (4.9 stars) and The View Restaurant (4.2 stars). Should I lookup their addresses? ``` **Prompt:** ``` Search Google for 'best CRM tools'. ``` **Response:** ``` I performed an organic Google Search. The current top ranking pages are: 1. Salesforce's 'What is CRM' portal. 2. HubSpot's Complete Guide for 2024. 3. Forbes Advisor 'Best CRM Software of The Year'. Would you like me to fetch the SEO titles or visit any of the URLs? ``` ## Capabilities ### Analyze standard web searches Execute custom queries across Google's main search results, specifying location and keywords. ### Gather local business details Retrieve structured data, including ratings and addresses, for specific physical locations using Google Places. ### Extract academic research papers Run searches specifically targeting scholarly journals and academic publications via Google Scholar. ### Track product pricing and availability Search for products across Google Shopping to collect real-time price points from multiple sellers. ### Identify content gaps and trends Use the google_related_questions tool to pull 'People Also Ask' clusters, showing potential new topics for content. ## Use Cases ### Launching a local service area website A marketing manager wants to verify if there's demand for dog groomers in three different neighborhoods. They ask their agent to use google_places on each location, gathering ratings and addresses so they can build out targeted landing pages. ### Competitive SEO audit An SEO expert needs to see what topics are related to 'AI ethics' but aren't being covered. They run a google_related_questions query and then use the results to inform content gaps, while also checking google_autocomplete for emerging keywords. ### Academic Literature Review A PhD student needs background on 'quantum computing in medicine.' They instruct their agent to run a google_scholar search and then use the tool's output to synthesize summaries of the top five most cited papers automatically. ### Real-time e-commerce price monitoring A web scraper needs to track if major electronics retailers are dropping prices on a specific TV model. They use google_shopping in a loop, checking multiple queries over an hour and compiling all the resulting price changes into one report. ## Benefits - Instead of copy-pasting dozens of search results, your agent handles the complexity. It manages IP rotation and CAPTCHAs so you just get clean JSON output for immediate use in your workflow. - Need to validate a content idea? Use google_related_questions to automatically pull out 'People Also Ask' clusters, showing exactly what user questions follow your main topic. - Comparing product prices across different markets is tough. The google_shopping tool lets you run bulk queries and collect pricing data for immediate competitive analysis. - Academic research requires specialized tools. Forget manual database searches; use google_scholar to pull citation summaries and analyze scholarly papers automatically. - The best way to track a local market? Use google_places. You can find rating averages, addresses, and contact info for businesses near Times Square or anywhere else. - Want to know what people are searching next? The google_autocomplete tool gives you the top predictive phrases before your audience even types them. ## How It Works The bottom line is you get live, structured web data from Google sources without writing a single scraper or managing IPs yourself. 1. Connect your AI client to this MCP and provide your Scale SERP API Key. 2. Ask your agent to use a specific tool, like google_organic or google_shopping, defining the exact search query and any required geographic location. 3. The MCP runs the complex scraping logic in the background, returning clean, structured data directly to your AI client for immediate analysis. ## Frequently Asked Questions **How does Scale SERP MCP handle anti-bot measures?** This MCP manages the complicated technical issues like IP rotation and CAPTCHA solving. You just ask for the data; it handles the heavy lifting required to access Google's results. **Can Scale SERP MCP track competitor pricing?** Yes, you use google_shopping. It searches product listings across Google Shopping, giving you structured price and availability data for competitive analysis. **Is the general organic search limited by location?** No, the google_organic tool allows you to specify both a query and an optional geographic location, ensuring your results are hyper-localized when needed. **How can I find related questions using Scale SERP MCP?** You use the google_related_questions tool. It pulls out the 'People Also Ask' box data from any search result, giving you immediate content ideas for gaps in your topic. **Does Scale SERP MCP work with academic research?** Absolutely. The google_scholar tool is dedicated to searching and retrieving information specifically from peer-reviewed scholarly journals and academic papers.