Integrate Serper Search and Scrape to easily perform web searches and internet scraping for content extraction, research
by marcopesaniFetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
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Serper Search and Scrape is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Serper Search and Scrape is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Serper Search and Scrape for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Serper Search and Scrape against two servers with overlapping tools; this profile had the clearer scope statement.
Serper Search and Scrape reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Serper Search and Scrape has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Serper Search and Scrape is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Serper Search and Scrape reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Serper Search and Scrape has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Serper Search and Scrape against two servers with overlapping tools; this profile had the clearer scope statement.
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Claude Desktop configuration
{
"mcpServers": {
"serper-search": {
"command": "npx",
"args": [
"-y",
"serper-search-scrape-mcp-server"
],
"env": {
"SERPER_API_KEY": "your_api_key_here"
}
}
}
}Performs Google web searches and extracts content from webpages using the Serper API. Supports advanced search operators and returns structured content including metadata.
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.
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.
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>google_search - Perform web searches via Serper API
site: Limit results to specific domainfiletype: Limit to specific file types (e.g., 'pdf', 'doc')inurl: Search for pages with word in URLintitle: Search for pages with word in titlerelated: Find similar websitescache: View Google's cached version of a specific URLbefore: Date before in YYYY-MM-DD formatafter: Date after in YYYY-MM-DD formatexact: Exact phrase matchexclude: Terms to exclude from search resultsor: Alternative terms (OR operator)scrape - Extract content from web pages
SERPER_API_KEY environment variable)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
Create a .env file in the root directory:
SERPER_API_KEY=your_api_key_here
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.
To install Serper Search and Scrape for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @marcopesani/mcp-server-serper --client claude
Add the server config at:
~/Library/Application Support/Claude/claude_desktop_config.json%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"
}
}
}
}
{
"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 serverautoApprove: List of tools that don't require explicit approval for each useenv SERPER_API_KEY=your_api_key_here npx -y serper-search-scrape-mcp-server
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.
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.