Serper Search and Scrape MCP Server
Provides tools to perform web searches using the Serper API, returning organic results, knowledge graph data, and related searches with support for advanced filters and operators.
Extracts content from web pages and transforms it into structured markdown, including support for metadata and JSON-LD extraction.
Serper Search and Scrape MCP Server
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 APIRich 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 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 pagesGet plain text and optional markdown content
Includes JSON-LD and head metadata
Preserves document structure
Related MCP server: Serpex MCP
Requirements
Node.js >= 18
Serper API key (set as
SERPER_API_KEYenvironment variable)
Development
Install dependencies:
npm installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchRun 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 testsEnvironment Variables
Create a .env file in the root directory:
SERPER_API_KEY=your_api_key_hereDebugging
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 inspectorThe 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 claudeClaude Desktop
Add the server config at:
MacOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%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
Open the Cline extension settings
Open "MCP Servers" tab
Click on "Configure MCP Servers"
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 tofalseto enable the serverautoApprove: List of tools that don't require explicit approval for each use
Cursor
Open the Cursor settings
Open "Features" settings
In the "MCP Servers" section, click on "Add new MCP Server"
Choose a name, and select "command" as "Type"
In the "Command" field, enter the following:
env SERPER_API_KEY=your_api_key_here npx -y serper-search-scrape-mcp-serverDocker
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-serperAlternatively, if you have your environment variables in a .env file:
docker run --env-file .env mcp-server-serperFor development, you might want to mount your source code as a volume:
docker run -v $(pwd):/app --env-file .env mcp-server-serperNote: Make sure to replace your_api_key_here with your actual Serper API key.
Available Tools
2 toolsgoogle_searchC
Tool to perform web searches via Serper API and retrieve rich results. It is able to retrieve organic search results, people also ask, related searches, and knowledge graph.
Inputs: q (required), gl (required), hl (required), location, +15 more.
scrapeC
Tool to scrape a webpage and retrieve the text and, optionally, the markdown content. It will retrieve also the JSON-LD metadata and the head metadata.
Inputs: url (required), includeMarkdown.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: google_search performs web searches and retrieves search results, while scrape extracts content from a specific webpage. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the task.
Both tools follow a consistent snake_case naming convention with descriptive, action-oriented names (google_search and scrape). The naming pattern is uniform and predictable, enhancing readability and usability.
With only 2 tools, the server feels thin for a search and scrape domain, potentially lacking operations like advanced filtering, batch processing, or handling specific content types. While the tools cover core functionalities, the count is borderline minimal for the apparent scope.
The server provides basic search and scrape capabilities, but there are notable gaps such as no tools for managing search history, handling pagination in results, or extracting structured data beyond text/metadata. This may limit agents in complex workflows, though core operations are present.
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Search the web, fetch any URL and map a site as clean, LLM-ready Markdown.
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