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https://github.com/marcopesani/mcp-server-serper

Serper MCP Server supporting search and webpage scraping
https://github.com/marcopesani/mcp-server-serper

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Serper MCP Server supporting search and webpage scraping

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# Serper Search and Scrape MCP Server
[![smithery badge](https://smithery.ai/badge/@marcopesani/mcp-server-serper)](https://smithery.ai/server/@marcopesani/mcp-server-serper)

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:
```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](https://github.com/modelcontextprotocol/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](https://smithery.ai/server/@marcopesani/mcp-server-serper):

```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.