Serper Search and Scrape
Web search and webpage scraping using the Serper API.
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 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_KEYenvironment 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 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-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.
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Teleport Documentation
Search and query Teleport's documentation using embeddings stored in a local Chroma vector database.
MCP Web Search Server
A web search server powered by DuckDuckGo, no API key required.
arXiv Research Assistant
Interact with the arXiv.org paper database. Supports keyword search, paper lookups, author searches, and trend analysis.
BigGo MCP Server
A server for product search, price history tracking, and specification search using the BigGo API.
YouTube Toolbox
A set of tools to interact with YouTube, including video search, transcript extraction, and comment retrieval.
Azure AI Search
Search content using Azure AI Agent Service and Azure AI Search.
Pokemon TCG Card Search MCP
Search and display Pokemon Trading Card Game cards using the Pokemon TCG API.
Library Docs MCP Server
Search and fetch documentation for popular libraries like Langchain, Llama-Index, and OpenAI using the Serper API.
gnosis-mcp
Zero-config knowledge base for AI coding agents. Loads your markdown docs into a searchable database and exposes them as MCP tools — search, read, and manage documentation without leaving your editor. Works instantly with SQLite (no setup), upgrades to PostgreSQL + pgvector for hybrid semantic search. Includes skills for searching docs (/gnosis:search), health checks (/gnosis:status), doc management (/gnosis:manage), and first-time setup (/gnosis:setup). 6 MCP tools, 3 resources, FTS5 keyword search, 176 tests.
Grep App
Search code across public GitHub repositories using the grep.app API.