# Zenserp MCP > Zenserp provides immediate access to live search engine results (SERP) across Google, Bing, Yandex, and DuckDuckGo. It lets your AI agent gather structured data—from organic titles and snippets to local business listings and product prices—without manual scraping or proxy headaches. ## Overview - **Category:** data-analytics - **Price:** Free - **Tags:** serp-api, search-intelligence, keyword-tracking, organic-search, data-scraping, search-engine-results ## Description Your agent connects to this MCP and instantly pulls structured search intelligence from multiple global sources. Instead of manually checking five different tabs, you ask for a specific query, and the system delivers compiled data points in natural language. You can pull organic results from Google, Bing, Yandex, or DuckDuckGo, all within one conversation thread. Need to track competitors? Run a comparison of product pricing across major e-commerce search tools. Analyzing local competition is simple; just ask for business listings and ratings from specific maps. Whether you're compiling massive datasets for trend analysis or finding the best images for a campaign, this MCP makes global market intelligence available through your preferred AI client. When you find powerful connectors like Zenserp within Vinkius, your agent becomes less of an assistant and more of a dedicated global research team. ## Tools ### search_bing Pulls standard organic search results specifically from Microsoft Bing. ### search_duckduckgo Retrieves clean, private organic search results using the DuckDuckGo engine. ### search_images Finds and retrieves image search results directly from Google's visual index. ### search_maps Gathers local business listings, physical addresses, and user reviews using Google Maps data. ### search_news Returns current news articles complete with titles, snippets, and precise publication timestamps from Google News. ### search_google Retrieves general organic search results from Google, optionally limiting the search to a specific city or state. ### search_shopping Collects structured data on product prices and current availability by scraping Google Shopping listings. ### search_videos Finds indexed video results through Google's dedicated video search tool. ### search_yandex Pulls general search results from the Yandex engine, useful for Russian-language markets. ### search_youtube Retrieves specific video search data directly from the YouTube platform. ## Prompt Examples **Prompt:** ``` Search Google for 'best CRM software for small business' and show me the top 5 organic results. ``` **Response:** ``` I found the top 5 organic results for your query. 1. HubSpot CRM (https://...), 2. Zoho CRM (https://...), 3. Salesforce Essentials (https://...). Would you like me to pull the snippets for any of these? ``` **Prompt:** ``` Find restaurants in 'Austin, TX' using Google Maps and show their ratings. ``` **Response:** ``` I found several highly-rated restaurants in Austin: 1. Franklin Barbecue (Rating: 4.8, 15k reviews), 2. Uchi (Rating: 4.7, 3k reviews), and 3. Terry Black's BBQ (Rating: 4.8, 12k reviews). Would you like the addresses for any of these? ``` **Prompt:** ``` What are the current news headlines for 'generative AI'? ``` **Response:** ``` Retrieving news for 'generative AI'... 1. 'New advancements in LLM reasoning' (Source: TechCrunch, 2h ago), 2. 'AI ethics board releases new guidelines' (Source: Reuters, 5h ago). Would you like to read the snippets for these articles? ``` ## Capabilities ### Gathering Multi-Engine Search Results The tool pulls structured organic results from Google, Bing, Yandex, or DuckDuckGo for the same query. ### Analyzing Local Business Details You retrieve verified physical addresses, user ratings, and reviews for any specific location using Google Maps data. ### Tracking E-commerce Pricing The system scrapes product availability and current pricing by querying Google Shopping results into structured JSON format. ### Monitoring Current News Stories It pulls recent articles, titles, snippets, and precise timestamps from Google News feed metadata. ### Finding Visual or Video Content You can search for relevant images across major engines or index videos directly via YouTube and Google Video tools. ## Use Cases ### A regional expansion requires local competitor data The agent executes a query combining `search_maps` and `search_google` for 'coffee shops in Miami, FL'. The user receives a list of top competitors with their exact physical addresses, customer ratings, and the top three organic search results for that location. ### Need to analyze product pricing changes A market researcher asks the agent to monitor 'noise-canceling headphones' across multiple sites. The system uses `search_shopping` to return a structured dataset showing current prices and availability from several major online stores. ### Researching breaking industry news A content marketer asks for the latest headlines on 'AI regulation'. The agent runs `search_news`, delivering titles, snippets, and source metadata for immediate article selection. ## Benefits - Stop switching between search tabs. You can compare the top organic results for a single keyword across Google, Bing, and DuckDuckGo in one single query. - Never manually verify local business data again. Use `search_maps` to pull comprehensive details—reviews, ratings, and addresses—for immediate competitor analysis. - Get real-time pricing intelligence with `search_shopping`. Instead of guessing product costs, you get structured JSON comparing availability across major retailers. - Keep up with breaking trends by using `search_news`. You receive compiled articles from Google News with source metadata and timestamps, perfect for content planning. - Find visual assets quickly. Use `search_images` to pull direct URLs for high-quality images or use `search_youtube` to find indexed video sources. ## How It Works The bottom line is that your AI agent acts as a universal search analyst, pulling structured data from dozens of global sources based on simple conversation prompts. 1. Subscribe to this MCP and input your Zenserp API Key into Vinkius. 2. Tell your AI client exactly what you need—for instance, 'Find the top 3 competitors for X in London'—including location details if necessary. 3. The system executes multiple targeted searches across the required engines and delivers a single, organized response containing all relevant data. ## Frequently Asked Questions **How does Zenserp MCP handle different countries?** The MCP supports global coverage using dedicated tools like `search_yandex` for Russian-language markets, while also allowing geo-targeting in general searches (e.g., 'New York, NY') through the primary Google search function. **Can Zenserp MCP pull historical data?** The tool is designed for live scraping of current results and articles. For tracking changes over time, you'd need to run queries repeatedly or use a separate archival process. **Do I have to pay per search query using Zenserp MCP?** Subscription details are handled by Vinkius when connecting your API key. The MCP allows you to perform complex, multi-engine queries through a single connection point. **Which tool should I use for checking local businesses?** You must use `search_maps`. This specific tool is optimized to retrieve physical addresses, ratings, and reviews directly from Google Maps data, which general search tools cannot access. **Is Zenserp MCP better than just using a web scraper?** Yes. A simple web scraper only pulls raw HTML. This MCP structures the output—it gives you clean JSON and organized lists of specific data points like titles, snippets, or prices.