
garylab/serper-mcp-server 是从 https://github.com/garylab/serper-mcp-server. 导入的 MCP 服务器候选
概览
garylab/serper-mcp-server 是从 https://github.com/garylab/serper-mcp-server. 导入的 MCP 服务器候选
概述(AI 翻译)
一个模型上下文协议服务器,提供通过 Serper 进行 Google 搜索。该服务器使大型语言模型能够从 Google 获取搜索结果信息。
可用工具
google_search- 设置所有参数google_search_images- 设置所有参数google_search_videos- 设置所有参数google_search_places- 设置所有参数google_search_maps- 设置所有参数google_search_reviews- 设置所有参数google_search_news- 设置所有参数google_search_shopping- 设置所有参数google_search_lens- 设置所有参数google_search_scholar- 设置所有参数google_search_patents- 设置所有参数google_search_autocomplete- 设置所有参数webpage_scrape- 设置所有参数
用途
通过Smithery安装
通过Smithery自动安装Serper MCP Server for Claude Desktop:
使用 uv(推荐)
-
确保你在操作系统上安装了
uv。 -
在你的MCP客户端代码配置或Claude设置(文件
claude_desktop_config.json)中添加serpermcp服务器:
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
Serper MCP Server
A Model Context Protocol server that provides Google Search via Serper. This server enables LLMs to get search result information from Google.
Available Tools
google_search- Set all the parametersgoogle_search_images- Set all the parametersgoogle_search_videos- Set all the parametersgoogle_search_places- Set all the parametersgoogle_search_maps- Set all the parametersgoogle_search_reviews- Set all the parametersgoogle_search_news- Set all the parametersgoogle_search_shopping- Set all the parametersgoogle_search_lens- Set all the parametersgoogle_search_scholar- Set all the parametersgoogle_search_patents- Set all the parametersgoogle_search_autocomplete- Set all the parameterswebpage_scrape- Set all the parameters
Usage
Installing via Smithery
To install Serper MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @garylab/serper-mcp-server --client claude
Using uv (recommended)
-
Make sure you had installed
uvon your os system. -
In your MCP client code configuration or Claude settings (file
claude_desktop_config.json) addserpermcp server:{ "mcpServers": { "serper": { "command": "uvx", "args": ["serper-mcp-server"], "env": { "SERPER_API_KEY": "" } } } }uvwill download mcp server automatically usinguvxfrom pypi.org and apply to your MCP client.
Using pip for project
-
Add
serper-mcp-serverto your MCP client coderequirements.txtfile.serper-mcp-server -
Install the dependencies.
pip install -r requirements.txt
安装
uvx serper-mcp-server配置
{
"mcpServers": {
"serper": {
"command": "uvx",
"args": ["serper-mcp-server"],
"env": {
"SERPER_API_KEY": "<Your Serper API key>"
}
}
}
}