G-Search MCP Server - Advanced Parallel Google Search Automation Tool
G-Search MCP is a cutting-edge MCP server that automates parallel Google searches using multiple keywords, enabling faster and more efficient search query processing. Designed using TypeScript and Playwright for browser automation, it is equipped with features such as intelligent CAPTCHA management, simulated browsing behavior, and structured JSON output for easy data analysis.
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Install Prerequisites
Install Node.js and Ollama on your system
npm install -g ollamaSetup MCP Server
Clone repository and install dependencies
git clone https://github.com/jae-jae/g-search-mcp && npm installConnect to Claude
Add server to Claude Desktop configuration
Edit claude_desktop_config.jsonPowerful Features
Discover what makes this MCP server exceptional and how it can transform your workflow
Parallel Searching: Perform simultaneous Google searches for multiple queries.
Automatic CAPTCHA Handling: Detect and manage CAPTCHAs dynamically.
Debug Mode: Activate a visible browser window for troubleshooting or transparency.
Result Configuration: Control parameters like result limits, locales, and timeouts.
User Behavior Simulation: Mimic human interaction patterns to evade detection.
Technical Capabilities
Search: Executes Google searches using multiple keywords and returns structured results as JSON. Features configurable parameters such as query input, result limits, timeout duration, locale settings, and debugging options.
About This Server
The G-Search MCP server revolutionizes the process of conducting Google searches by executing multiple keyword searches simultaneously. This server leverages Playwright for sophisticated browser automation and uses simulated human-like browsing behavior to evade detection mechanisms. Equipped with advanced tools for CAPTCHA handling, the server ensures seamless operation even under challenging scenarios. The JSON-formatted results simplify downstream data processing and make the server highly suitable for localized searches, research studies, and competitor analysis. It is built using TypeScript, runs on Node.js, and is configurable to meet diverse search-related requirements.
Tools & Capabilities
Explore the powerful tools this server provides
Available Tools
Search
Executes Google searches using multiple keywords and returns structured results as JSON. Features configurable parameters such as query input, result limits, timeout duration, locale settings, and debugging options.
Debug
Runs the MCP server in debug mode, revealing a visible browser window to aid troubleshooting and clarify server operations.
Configure MCP
Allows users to define specific MCP server configurations, including environment-specific setups for Windows, macOS, and Linux platforms.
Adjust Search Parameters
Enables customization of Google search operations, including specifying result limits, timeouts, and locales for focused analysis.
Install
Guides users through setting up the server, installing Node.js and Playwright dependencies, and initializing the G-Search MCP service.
Inspect
Provides debugging tools via Playwright Inspector to examine browser operations and server functionality in greater detail.
Installation & Setup
Complete guide to get this MCP server running in your environment
Before You Start
There are two ways to add an MCP server to Cursor and Claude Desktop App:
- Globally: Available in all of your projects by adding it to the global MCP settings file.
- Per Project: Available only within a specific project by adding it to the project's MCP settings file.
Cursor IDE
Adding an MCP Server to Cursor Globally
- Go to **Cursor Settings > MCP** and click **Add new global MCP server**.
- This will open the `~/.cursor/mcp.json` file.
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}Claude Desktop
Adding an MCP Server to Claude Desktop App Globally
- Go to **Claude Settings > MCP Servers** and click **Add Global MCP Server**.
- This will open the `~/.claude/mcp.json` file (or you can navigate there manually).
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}Step-by-Step Setup
Detailed instructions to get everything running
Ensure Node.js 18 or higher is installed.
Install and set up the required browser by running: npx playwright install chromium.
To run the server directly, execute the command: npx -y g-search-mcp.
(Optional) Enable debug mode to display the browser window by using the command: npx -y g-search-mcp --debug.
Use Cases
Real-world applications and scenarios where this server excels
Conducting competitor research by collecting Google search results for targeted keywords simultaneously.
Analyzing localized search trends by configuring locale-specific searches and aggregating results for different geographic regions.
Creating automated workflows for academic research requiring structured search results in JSON format.
Devising tools for advanced market analysis based on search result aggregation and behavior simulation technology.
Providing responsive support for systems requiring multi-faceted keyword search results in real time.
Success Stories
See how others have successfully implemented this MCP server
Academic Research Acceleration
Scenario
University researchers used G-Search MCP Server - Advanced Parallel Google Search Automation Tool to analyze complex datasets across multiple domains simultaneously
Implementation
Researchers deployed specialized AI models for statistical analysis, pattern recognition, literature review, and hypothesis generation, allowing parallel processing of research questions
Outcome
Discovered 3 novel research insights that single-model analysis missed, published 2 additional papers, and reduced research timeline by 40%
Real-world Application: Analyzing Localized Search Trends By Configuring Locale Specific Searches And Aggregating Results For Different Geographic Regions.
Scenario
An organization implemented G-Search MCP Server - Advanced Parallel Google Search Automation Tool to address their specific need for analyzing localized search trends by configuring locale-specific searches and aggregating results for different geographic regions.
Implementation
They configured the MCP server with specialized AI models tailored to their analyzing localized search trends by configuring locale-specific searches and aggregating results for different geographic regions. requirements, enabling comprehensive analysis and decision support
Outcome
Achieved significant improvements in analyzing localized search trends by configuring locale-specific searches and aggregating results for different geographic regions. efficiency and quality through multi-perspective AI analysis
Academic Research Acceleration
Scenario
University researchers used G-Search MCP Server - Advanced Parallel Google Search Automation Tool to analyze complex datasets across multiple domains simultaneously
Implementation
Researchers deployed specialized AI models for statistical analysis, pattern recognition, literature review, and hypothesis generation, allowing parallel processing of research questions
Outcome
Discovered 3 novel research insights that single-model analysis missed, published 2 additional papers, and reduced research timeline by 40%
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