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Serper MCP多参数搜索服务器

该 Serper MCP 服务器支持搜索和网页抓取,并且兼容 Serper API 引入的所有最新参数,例如位置参数。

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README

Serper Search and Scrape MCP Server

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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:

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

  1. Open the Cline extension settings
  2. Open "MCP Servers" tab
  3. Click on "Configure MCP Servers"
  4. 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 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:

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.

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端