search-web

Serper Search and Scrape

by marcopesani

Integrate Serper Search and Scrape to easily perform web searches and internet scraping for content extraction, research

Integrates with the Serper API to enable web searches and webpage content extraction, supporting research, content aggregation, and data mining tasks.

github stars

140

Advanced Google search operators supportedRequires Serper API key

best for

  • / Research and content aggregation tasks
  • / Data mining and web scraping projects
  • / Content creators needing web research
  • / Developers building search-powered applications

capabilities

  • / Search Google with advanced operators (site:, filetype:, date ranges)
  • / Extract webpage content as plain text or markdown
  • / Target searches by region and language
  • / Retrieve metadata and JSON-LD data from pages
  • / Access knowledge graph and related search results

what it does

Performs Google web searches and extracts content from webpages using the Serper API. Supports advanced search operators and returns structured content including metadata.

about

Serper Search and Scrape is a community-built MCP server published by marcopesani that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Serper Search and Scrape to easily perform web searches and internet scraping for content extraction, research It is categorized under search web.

how to install

You can install Serper Search and Scrape in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Serper Search and Scrape is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Serper Search and Scrape MCP Server

smithery badge

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.

<a href="https://glama.ai/mcp/servers/5zk327i0pj"> <img width="380" height="200" src="https://glama.ai/mcp/servers/5zk327i0pj/badge" alt="serper-search-scrape-mcp-server MCP server" /> </a>

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.