serper-search-scrape-mcp-server Featured
This Serper MCP Server supports search and webpage scraping, and all the most recent parameters introduced by the Serper API, like location.
marcopesani
Tools
google_search
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.
scrape
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.
README
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.
<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>
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 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- 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:
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
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:
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:
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
{
"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 tofalse
to 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-server
Docker
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.
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