Overview

The Google Research MCP Server transforms Google search into a powerful research tool by offering intelligent source ranking, deduplication, agent-based synthesis, and focus area analysis. It's built for Claude Code, Claude Desktop, and other MCP-compatible clients.

Community Developed:

Developed by mixelpixx

Key Features

🔍

Advanced Google Search

Full-text search with quality scoring, domain filtering, and date restrictions

📄

Content Extraction

Clean content extraction from web pages in various formats

🧠

Research Synthesis

AI-powered analysis, source synthesis, and actionable recommendations

🎯

Focus Area Analysis

Dedicated analysis for specific aspects of your research topic

Available Tools

Quick Reference

Tool	Purpose	Category
`research_topic`	Conduct comprehensive research on a topic	Research
`google_search`	Perform targeted Google searches	Search
`extract_webpage_content`	Extract content from web pages	Content

Detailed Usage

research_topic▶

Conduct comprehensive research on a given topic with specified depth and focus areas.

use_mcp_tool({
  server_name: "google-search",
  tool_name: "research_topic",
  arguments: {
    topic: "WebAssembly performance optimization",
    depth: "basic"
  }
});

google_search▶

Perform targeted Google searches with options for result count, date restrictions, and site filtering.

use_mcp_tool({
  server_name: "google-search",
  tool_name: "google_search",
  arguments: {
    query: "docker container security best practices",
    num_results: 10,
    dateRestrict: "y1",
    site: "github.com"
  }
});

extract_webpage_content▶

Extract content from web pages with options for format, max length, and preview length.

use_mcp_tool({
  server_name: "google-search",
  tool_name: "extract_webpage_content",
  arguments: {
    url: "https://kubernetes.io/docs/concepts/security/",
    format: "markdown",
    max_length: 5000,
    preview_length: 300
  }
});

Installation

{
  "mcpServers": {
    "google-search": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-google-search-server"
      ],
      "env": {
        "GOOGLE_API_KEY": "your_google_api_key",
        "GOOGLE_SEARCH_ENGINE_ID": "your_custom_search_engine_id"
      }
    }
  }
}

Sources

Perplexity AI MCP Server: Real-time Search & Reasoning for AI

Explore Perplexity AI MCP Server for real-time web search, advanced reasoning, and comprehensive research. Empower your AI with up-to-date information and detailed answers.

Knowledge Graph Memory MCP: AI Persistent Memory & Entity Mgmt

Knowledge Graph Memory MCP servers empower AI with persistent memory, entity management, and relation tracking through local knowledge graph interaction.

Setting up MCP Servers in Visual Studio Code

Model Context Protocol (MCP) enables AI models to interact with external tools and services through a unified interface. This guide will walk you through setting up MCP servers in Visual Studio Code to enhance your GitHub Copilot experience.

Google Search MCP Server