Deep Search MCP Server

An MCP (Model Context Protocol) server that performs comprehensive web searches by combining Google search with advanced content extraction using Mozilla's Readability algorithm.

Features

• Advanced Content Extraction - Uses Mozilla's Readability algorithm (same as Firefox Reader View) for clean article extraction
• Multiple Search Types - Web search, news search, and image search
• Domain Filtering - Include or exclude specific domains from results
• Retry Logic - Automatic retries with exponential backoff for reliability
• Controlled Concurrency - Fetches pages in batches to avoid overwhelming servers
• Full Content - Returns complete page content, not just snippets

Prerequisites

Get a Serper API Key

This MCP server uses Serper.dev for Google search results.

1. Go to https://serper.dev
2. Sign up for a free account (2,500 free searches)
3. Copy your API key from the dashboard

Installation

Using npx (Recommended)

No installation needed - just configure your MCP client:

{
  "mcpServers": {
    "deep-search": {
      "command": "npx",
      "args": ["-y", "@thejusdutt/deep-search-mcp"],
      "env": {
        "SERPER_API_KEY": "your-serper-api-key-here"
      }
    }
  }
}

Global Installation

npm install -g @thejusdutt/deep-search-mcp

Then configure:

{
  "mcpServers": {
    "deep-search": {
      "command": "deep-search-mcp",
      "env": {
        "SERPER_API_KEY": "your-serper-api-key-here"
      }
    }
  }
}

Tools

deep_search

Comprehensive web search with full content extraction.

Parameters:

| Parameter | Type | Default | Description | |-----------|------|---------|-------------| | query | string | required | The search query | | num_results | number | 10 | Number of results (1-10) | | max_content_per_page | number | 50000 | Max characters per page (5000-100000) | | search_type | string | "web" | Search type: "web", "news", or "images" | | include_domains | string | - | Comma-separated domains to include | | exclude_domains | string | - | Comma-separated domains to exclude |

Examples:

// Basic web search
deep_search({ query: "React best practices 2025" })

// News search
deep_search({ query: "AI announcements", search_type: "news" })

// Image search - returns image URLs and source pages
deep_search({ query: "cute cats", search_type: "images" })

// Search specific sites only
deep_search({ 
  query: "TypeScript tips",
  include_domains: "github.com,dev.to"
})

// Exclude certain sites
deep_search({
  query: "web development trends",
  exclude_domains: "pinterest.com,facebook.com"
})

deep_search_news

Optimized for news article search.

Parameters:

| Parameter | Type | Default | Description | |-----------|------|---------|-------------| | query | string | required | The news topic to search | | num_results | number | 10 | Number of articles (1-10) | | max_content_per_page | number | 30000 | Max characters per article |

Example:

deep_search_news({ query: "OpenAI latest updates" })

Configuration for Different MCP Clients

Kiro / Claude Desktop

Add to ~/.kiro/settings/mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "deep-search": {
      "command": "npx",
      "args": ["-y", "deep-search-mcp"],
      "env": {
        "SERPER_API_KEY": "your-api-key"
      }
    }
  }
}

VS Code with Continue

Add to your Continue config:

{
  "mcpServers": [
    {
      "name": "deep-search",
      "command": "npx",
      "args": ["-y", "deep-search-mcp"],
      "env": {
        "SERPER_API_KEY": "your-api-key"
      }
    }
  ]
}

Search Types

Web Search (default)

Standard Google search with full page content extraction using Mozilla Readability.

News Search

Searches Google News for recent articles. Use search_type: "news" or the dedicated deep_search_news tool.

Image Search

Searches Google Images and returns:

• title - Image title/description
• link - Source page URL where the image is hosted
• snippet - Direct image URL

Note: Image search returns metadata and URLs only - it does not download or display actual images.

How It Works

1. Search - Queries Google via Serper API to get top results
2. Fetch - Downloads each result page with retry logic (web/news only)
3. Extract - Uses Mozilla Readability to extract clean article content
4. Format - Returns consolidated markdown with full content from each page

Requirements

• Node.js 18+
• Serper API key (get one free)

License

MIT

Author

thejusdutt

Contributing

Issues and PRs welcome at GitHub