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

SQLite MCP Server

SQLite MCP servers enable AI models to interact with SQLite databases, providing capabilities for structured data operations, SQL queries, and local data management.

Notion MCP Server

Connect AI assistants to Notion workspaces for page management, database operations, content search, and workspace automation through the official Notion MCP Server.

HuggingFace MCP Server

HuggingFace MCP server provides AI assistants with access to the model hub — search 1M+ models, discover datasets, explore Spaces, read papers, and fetch documentation directly through MCP.

Google Search MCP Server