NightTrek

Serper Search MCP Server

Community NightTrek
Updated

A Model Context Protocol server

Serper Search MCP Server

A Model Context Protocol server that provides Google search capabilities through the Serper API, along with an AI-powered Deep Research tool. This server enables easy integration of search and research functionality into your MCP-enabled applications.

โœจ Features

  • ๐ŸŒ Powerful Google search integration through Serper API
  • ๐Ÿ”„ Rich search response data including:
    • Knowledge Graph information
    • Organic search results
    • "People Also Ask" questions
    • Related searches
  • ๐Ÿง  AI-powered Deep Research tool:
    • Performs multi-step, iterative research
    • Generates sub-queries to explore topics thoroughly
    • Synthesizes information from multiple sources
    • Provides citations for all information
    • Adjustable research depth levels
    • Built-in quality metrics for continuous improvement
  • ๐Ÿ›  Configurable search parameters:
    • Country targeting
    • Language selection
    • Result count customization
    • Autocorrect options
  • ๐Ÿ”’ Secure API key handling
  • โšก๏ธ Rate limiting and caching support
  • ๐Ÿ“ TypeScript support with full type definitions
  • ๐Ÿ“Š Integrated performance metrics for result optimization

๐Ÿš€ Installation

  1. Clone the repository:
git clone https://github.com/yourusername/serper-search-server.git
cd serper-search-server
  1. Install dependencies:
pnpm install
  1. Build the server:
pnpm run build

โš™๏ธ Configuration

  1. Get your Serper API key from [Serper.dev](https://serper.de

  2. Create a .env file in the root directory:

# Required
SERPER_API_KEY=your_api_key_here

# Optional - Advanced Quality Metrics Configuration (pre-configured by default)
USAGE_METRICS_KEY=your-custom-metrics-key     # Optional
USAGE_PROJECT_ID=your-custom-project-id       # Optional
METRICS_ENDPOINT=https://your-custom-host.com # Optional
DISABLE_METRICS=false                         # Not recommended

See TELEMETRY.md for detailed information about:

  • Quality metrics collection
  • Performance monitoring
  • Usage analytics
  • Dashboard setup
  • Continuous improvement

๐Ÿ”Œ Integration

Claude Desktop

Add the server config to your Claude Desktop configuration:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.jsonWindows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "serper-search-server": {
      "command": "/path/to/serper-search-server/build/index.js",
      "env": {
        "SERPER_API_KEY": "your_api_key_here"
      }
    }
  }
}

๐Ÿ›  Usage

Search Tool

The server provides a powerful search tool with the following parameters:

{
  "query": string,          // Search query
  "numResults"?: number,    // Number of results (default: 10, max: 100)
  "gl"?: string,           // Country code (e.g., "us", "uk")
  "hl"?: string,           // Language code (e.g., "en", "es")
  "autocorrect"?: boolean, // Enable autocorrect (default: true)
  "type"?: "search"        // Search type (more types coming soon)
}

Deep Research Tool

For more comprehensive research needs, the server provides a deep research tool that performs multi-step research with the following parameters:

{
  "query": string,          // Research query or question
  "depth"?: "basic" | "standard" | "deep",  // Research depth (default: "standard")
  "maxSources"?: number     // Maximum sources to include (default: 10)
}

The deep research tool:

  • Breaks down complex queries into focused sub-queries
  • Executes multiple searches to gather comprehensive information
  • Uses AI to synthesize information from multiple sources
  • Formats results with proper citations and references
  • Adapts its research strategy based on intermediate results
  • Collects anonymous quality metrics to improve search results

Depth Levels:

  • basic: Quick overview (3-5 sources, ~5 min)Good for: Simple facts, quick definitions, straightforward questions
  • standard: Comprehensive analysis (5-10 sources, ~10 min)Good for: Most research needs, balanced depth and speed
  • deep: Exhaustive research (10+ sources, ~15-20 min)Good for: Complex topics, academic research, thorough analysis

Search Tool Example Response

The search results include rich data:

{
  "searchParameters": {
    "q": "apple inc",
    "gl": "us",
    "hl": "en",
    "autocorrect": true,
    "type": "search"
  },
  "knowledgeGraph": {
    "title": "Apple",
    "type": "Technology company",
    "website": "http://www.apple.com/",
    "description": "Apple Inc. is an American multinational technology company...",
    "attributes": {
      "Headquarters": "Cupertino, CA",
      "CEO": "Tim Cook (Aug 24, 2011โ€“)",
      "Founded": "April 1, 1976, Los Altos, CA"
    }
  },
  "organic": [
    {
      "title": "Apple",
      "link": "https://www.apple.com/",
      "snippet": "Discover the innovative world of Apple...",
      "position": 1
    }
  ],
  "peopleAlsoAsk": [
    {
      "question": "What does Apple Inc mean?",
      "snippet": "Apple Inc., formerly Apple Computer, Inc....",
      "link": "https://www.britannica.com/topic/Apple-Inc"
    }
  ],
  "relatedSearches": [
    {
      "query": "Who invented the iPhone"
    }
  ]
}

๐Ÿ” Response Types

Knowledge Graph

Contains entity information when available:

  • Title and type
  • Website URL
  • Description
  • Key attributes

Organic Results

List of search results including:

  • Title and URL
  • Snippet (description)
  • Position in results
  • Sitelinks when available

People Also Ask

Common questions related to the search:

  • Question text
  • Answer snippet
  • Source link

Related Searches

List of related search queries users often make.

๐Ÿ“Š Quality Metrics

The Deep Research tool includes integrated quality metrics:

  • Research process metrics
  • Performance monitoring
  • Issue tracking
  • Usage patterns
  • Result quality indicators

See TELEMETRY.md for detailed information about the metrics collected to improve search quality.

๐Ÿค Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

๐Ÿ“ License

This project is licensed under the MIT License - see the LICENSE file for details.

๐Ÿ™ Acknowledgments

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