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AI Agent for Serper MCP

Empower your LLM workflows with seamless Google Search integration via the Serper MCP Server. Access real-time search results, images, videos, places, reviews, news, shopping, and more—directly through Model Context Protocol. Designed for developers and organizations seeking scalable, programmatic access to Google Search capabilities for AI-powered applications.

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Unified Google Search API for LLMs

Integrate Google Search, Images, Videos, News, Shopping, and more into your AI agents using a single robust Model Context Protocol server. Serper MCP Server streamlines knowledge retrieval for LLMs, giving your applications instant and reliable access to the world’s information.

Comprehensive Search Tools.
Access Google Search, Images, Videos, Maps, News, Shopping, Reviews, Scholar, Lens, and more through well-defined APIs.
LLM-Optimized Integration.
Designed to work seamlessly with leading LLMs and agents, including Claude, for enhanced contextual responses.
Easy Cloud Deployment.
Install via Smithery, pip, or uv for instant access on cloud or desktop environments.
Secure & Flexible.
Control access with your Serper API key and use open-source licensing for peace of mind.
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Streamlined Setup and Configuration

Get started quickly with flexible installation options for any OS or deployment scenario. Add Serper MCP Server to your LLM workflow using Smithery, pip, or uv—just configure your API key and you’re ready to go.

Flexible Installation.
Install and run with Smithery CLI, pip, or uv for local and cloud environments.
API Key Management.
Integrate securely by configuring your Serper API key for authenticated access.
Cross-Platform Compatible.
Supports Linux, macOS, and Windows for maximum deployment flexibility.
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Debugging and Developer Support

Use the MCP Inspector for seamless debugging and diagnostics. Get visibility into your server’s operations and logs to accelerate development and troubleshooting.

Real-Time Debugging.
Use MCP Inspector to monitor and debug your server during development.
Open Source & MIT Licensed.
Contribute, inspect, and customize with confidence under the MIT License.

MCP INTEGRATION

Available Serper MCP Integration Tools

The following tools are available as part of the Serper MCP integration:

google_search

Perform Google web searches and retrieve relevant results based on your query parameters.

google_search_images

Search for images on Google and get a list of matching image results and metadata.

google_search_videos

Find video results from Google Video Search using specific keywords and filters.

google_search_places

Search for places and local businesses on Google Places using relevant criteria.

google_search_maps

Query Google Maps for geographic locations and related map information.

google_search_reviews

Retrieve reviews for places or businesses found via Google Search.

google_search_news

Search the latest news articles and headlines from Google News.

google_search_shopping

Find shopping results and product listings on Google Shopping.

google_search_lens

Use Google Lens to search using images and get visual matching results.

google_search_scholar

Search academic publications and scholarly articles using Google Scholar.

google_search_parents

Find related parent topics or broader queries through Google Search.

google_search_autocomplete

Get autocomplete suggestions for search queries from Google.

webpage_scrape

Scrape and extract content from web pages by providing a URL.

Supercharge LLMs with Google Search Tools

Easily integrate Google Search, Images, Maps, News, and more into your AI workflows with Serper MCP Server. Fast setup, powerful endpoints, and seamless Claude compatibility.

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What is Serper MCP Server

The Serper MCP Server, developed by Gary Meng, is a middleware solution that integrates the Serper API with AI agents and Language Learning Models (LLMs) via the Model Context Protocol (MCP). This server empowers AI models to perform real-time Google searches and access a wide range of web data—including news, images, videos, locations, and more—directly from within their workflows. The server allows for customization with location, language, and time period filters, and is designed for seamless integration with platforms like Claude Desktop, Cursor, and other MCP-compatible environments. Supporting both Python and TypeScript, Serper MCP Server is highly flexible and can be installed using tools like pip, uv, or Smithery for various development setups. It is widely used by developers and AI researchers seeking to enhance their agents' access to up-to-date, high-quality web information.

Capabilities

What we can do with Serper MCP Server

Serper MCP Server gives AI agents powerful and versatile access to Google Search and web data extraction functionalities. Here’s what you can do with the service:

Comprehensive Web Search
Perform real-time Google searches (web, images, news, videos, shopping, and more) directly from your AI agent.
Rich Data Extraction
Scrape and extract detailed content from webpages for analysis or downstream processing.
Location & Language Filtering
Customize search queries with location, language, and time period filters for highly relevant results.
Multi-Platform Integration
Seamlessly integrate with Claude Desktop, Cursor, and other MCP-compatible platforms.
Simple Setup & Debugging
Easily install with pip, uv, or Smithery, and use built-in debugging tools for smooth development.
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How AI Agents Benefit from Serper MCP Server

AI agents using Serper MCP Server gain direct, programmatic access to Google Search and web data, enabling them to provide more accurate, real-time, and contextually relevant information to users. This service eliminates the need to build custom search integrations, streamlines agent workflows, and enhances the overall intelligence and responsiveness of AI-powered applications.