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Serper Search and Scrape

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marcopesani

Serper MCP Server supporting search and webpage scraping

Publishermarcopesani
Repositorymcp-server-serper
LanguageTypeScript
Forks
23
Stars
154
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Serper Search and Scrape exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    154 stars and 23 forks from the linked repository.

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:

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:
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.

Installation

TypingMind
Prerequisites:

Node.js 18+

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

Use Serper Search and Scrape MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Serper Search and Scrape is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Serper Search and Scrape as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Serper Search and Scrape MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "serper-search-and-scrape": {
      "command": "npx",
      "args": [
        "-y",
        "serper-search-scrape-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Serper Search and Scrape MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Serper Search and Scrape MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Serper Search and Scrape to help me with this task?
Serper Search and Scrape
Sure. I read it.
Here is what I found using Serper Search and Scrape.

Frequently asked questions

What is the Serper Search and Scrape MCP server used for?

Serper Search and Scrape is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Serper Search and Scrape MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Serper Search and Scrape with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Serper Search and Scrape MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Serper Search and Scrape connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Serper Search and Scrape MCP to TypingMind?

Serper Search and Scrape runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Serper Search and Scrape MCP provide in TypingMind?

Serper Search and Scrape exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Serper Search and Scrape MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Serper Search and Scrape requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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