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Serper MCP Server: Unified Search & Web Scraping Intelligence - MCP Implementation

Serper MCP Server: Unified Search & Web Scraping Intelligence

Serper MCP Server: Unify search and web scraping into one powerful workflow, delivering real-time data and actionable insights to drive smarter business decisions.

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About Serper MCP Server

What is Serper MCP Server: Unified Search & Web Scraping Intelligence?

Serper MCP Server is a TypeScript-based middleware solution that integrates the Serper API to provide unified access to advanced search capabilities and web scraping functionality. Designed to streamline workflows within AI development platforms like Claude Desktop, Cursor, and Cline, it enables developers to execute precise searches, extract data from web pages, and automate content aggregation tasks with minimal configuration overhead.

How to Use Serper MCP Server: Unified Search & Web Scraping Intelligence?

Deployment follows a modular approach:

  • Install via Smithery for rapid setup
  • Configure Claude Desktop with environment variable binding
  • Integrate with Cline using auto-approval tool lists
  • Deploy in Cursor environments via command-line configuration
  • Containerize using Docker for cross-platform portability

All implementations require setting the SERPER_API_KEY securely through environment variables or .env files.

Serper MCP Server Features

Key Features of Serper MCP Server: Unified Search & Web Scraping Intelligence?

This platform delivers:

  • Granular Search Control: Supports advanced parameters for filtering results by date, location, and content type
  • Robust Scraping Engine: Handles dynamic content extraction and pagination through adaptive rendering
  • Multi-Environment Support: Works natively with major AI workspaces and cloud environments
  • Debugging Framework: Provides verbose logging and tool-specific error tracing
  • Security-first Design: Enforces API key isolation and rate-limiting safeguards

Use Cases of Serper MCP Server: Unified Search & Web Scraping Intelligence?

Common applications include:

  • Competitive Analysis: Monitoring product listings and pricing patterns
  • Content Curation: Automatically aggregating news sources with sentiment analysis
  • Market Research: Collecting consumer reviews and trend indicators
  • Compliance Monitoring: Tracking regulatory updates across jurisdictions
  • AI Training Data Pipelines: Creating labeled datasets from web sources

Serper MCP Server FAQ

FAQ: Serper MCP Server

  • Q: How do I obtain an API key?
    A: Register at serper.dev for production credentials
  • Q: Can it run on Windows?
    A: Yes, via Docker or native Node.js environments
  • Q: What happens if API limits are exceeded?
    A: Built-in retry logic with exponential backoff handles throttling gracefully
  • Q: How do I troubleshoot connection issues?
    A: Enable debug mode using DEBUG=serper* node app.js for detailed diagnostics

Content

Serper Search and Scrape MCP Server

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A TypeScript-based MCP server that provides web search and webpage scraping capabilities using the Serper API. This server integrates with Claude Desktop to enable powerful web search and content extraction features.

serper-search-scrape-mcp-server MCP server

Features

Tools

  • google_search - Perform web searches via Serper API

    • Rich search results including organic results, knowledge graph, "people also ask", and related searches
    • Supports region and language targeting
    • Optional parameters for location, pagination, time filters, and autocorrection
    • Supports advanced search operators:
      • site: Limit results to specific domain
      • filetype: Limit to specific file types (e.g., 'pdf', 'doc')
      • inurl: Search for pages with word in URL
      • intitle: Search for pages with word in title
      • related: Find similar websites
      • cache: View Google's cached version of a specific URL
      • before: Date before in YYYY-MM-DD format
      • after: Date after in YYYY-MM-DD format
      • exact: Exact phrase match
      • exclude: Terms to exclude from search results
      • or: Alternative terms (OR operator)
  • scrape - Extract content from web pages

    • Get plain text and optional markdown content
    • Includes JSON-LD and head metadata
    • Preserves document structure

Requirements

  • Node.js >= 18
  • Serper API key (set as SERPER_API_KEY environment variable)

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Run tests:

npm test                  # Run all tests
npm run test:watch       # Run tests in watch mode
npm run test:coverage    # Run tests with coverage
npm run test:integration # Run integration tests

Environment Variables

Create a .env file in the root directory:

SERPER_API_KEY=your_api_key_here

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Installation

Installing via Smithery

To install Serper Search and Scrape for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @marcopesani/mcp-server-serper --client claude

Claude Desktop

Add the server config at:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%/Claude/claude_desktop_config.json

    {
    "mcpServers": {
    "serper-search": {
    "command": "npx",
    "args": ["-y", "serper-search-scrape-mcp-server"],
    "env": {
    "SERPER_API_KEY": "your_api_key_here"
    }
    }
    }
    }

Cline

  1. Open the Cline extension settings
  2. Open "MCP Servers" tab
  3. Click on "Configure MCP Servers"
  4. Add the server config:
{
  "mcpServers": {
    "github.com/marcopesani/mcp-server-serper": {
      "command": "npx",
      "args": ["-y", "serper-search-scrape-mcp-server"],
      "env": {
        "SERPER_API_KEY": "your_api_key_here"
      },
      "disabled": false,
      "autoApprove": ["google_search", "scrape"]
    }
  }
}

Additional Cline configuration options:

  • disabled: Set to false to enable the server
  • autoApprove: List of tools that don't require explicit approval for each use

Cursor

  1. Open the Cursor settings
  2. Open "Features" settings
  3. In the "MCP Servers" section, click on "Add new MCP Server"
  4. Choose a name, and select "command" as "Type"
  5. In the "Command" field, enter the following:
env SERPER_API_KEY=your_api_key_here npx -y serper-search-scrape-mcp-server

Docker

You can also run the server using Docker. First, build the image:

docker build -t mcp-server-serper .

Then run the container with your Serper API key:

docker run -e SERPER_API_KEY=your_api_key_here mcp-server-serper

Alternatively, if you have your environment variables in a .env file:

docker run --env-file .env mcp-server-serper

For development, you might want to mount your source code as a volume:

docker run -v $(pwd):/app --env-file .env mcp-server-serper

Note: Make sure to replace your_api_key_here with your actual Serper API key.

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