Zenserp MCP. Structured SERP data from every major engine.

Zenserp lets your AI agent run global research queries against major search engines—Google, Bing, Yandex, DuckDuckGo, and more—all in one shot. You're not just searching; you're collecting structured data that you can use right away. Forget copy-pasting tabs or juggling multiple browser windows for market intelligence; your agent handles it all.

When you run a query, the server gives your AI client access to specialized tools. These tools handle everything from basic organic results to complex financial and local auditing tasks. You'll use search_google to get general search results from Google, even specifying location parameters like 'Brooklyn, NY.' If you need to compare against other engines, you can run the same query using search_bing for Microsoft Bing results or search_duckduckgo for private-by-default organic listings.

For visual research, your agent pulls more than just links. You'll use search_images to get direct image URLs from Google’s image service. Need video content? Run search_videos or call search_youtube directly to find indexed video results across different platforms.

If you're doing local business auditing, you don't guess—you pull the facts. The search_maps tool fetches structured data for real-world businesses, giving you physical addresses, user ratings, and review snippets for any location you drop in. This is essential for checking out competitors or verifying store locations.

When it comes to market research and e-commerce, your agent can compare pricing across the board. You run search_shopping to scrape product prices and current availability data directly from Google Shopping results; this output's structured JSON format makes analyzing price differences easy.

For news monitoring or journalism, you get timely data. Use search_news to pull current articles from Google News, giving you the titles, snippets, and exact timestamps for breaking stories. If your research involves international markets, search_yandex gives full search engine results straight from Yandex.

How does it work? You tell your AI client what you need—say, 'What are the prices for running shoes in Manhattan, and where's the best local store?' Your agent then routes that single request through multiple tools. It might use search_shopping to get pricing data, run search_maps to locate businesses, and maybe even fire up search_google for general context.

The server aggregates all this structured output and feeds it back to your AI client in one clean package.

You're getting multi-engine SERP querying capabilities right out of the box; you can compare results across Google, Bing, Yandex, or DuckDuckGo with a single query. You collect temporal news data using search_news that includes source metadata and precise timestamps for every article retrieved.

It’s built to let your agent execute complex global research queries in one conversation thread, eliminating the need for manual copy-pasting and giving you structured access to everything from local business ratings to e-commerce pricing.