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    Mcp Server Serper

    Serper MCP Server supporting search and webpage scraping TypeScript-based implementation.

    125 stars
    TypeScript
    Updated Oct 18, 2025

    Documentation

    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.

    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:

    bash
    npm install

    Build the server:

    bash
    npm run build

    For development with auto-rebuild:

    bash
    npm run watch

    Run tests:

    bash
    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:

    code
    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:

    bash
    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:

    bash
    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
    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:

    json
    {
      "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:

    code
    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:

    bash
    docker build -t mcp-server-serper .

    Then run the container with your Serper API key:

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

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

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

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

    bash
    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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