
Serper (Google Search)
Provides Google search capabilities to AI through the Serper API with filtering options for location, language, and time periods. Includes specialized searches for images, news, shopping, academic papers, and more.
Enables AI to perform Google searches via the Serper API with support for location, language, and time period filters.
What it does
- Perform Google web searches with filters
- Search Google Images, videos, and news
- Find places and maps information
- Search Google Scholar and patents
- Get shopping results and reviews
- Scrape webpage content
Best for
About Serper (Google Search)
Serper (Google Search) is a community-built MCP server published by garylab that provides AI assistants with tools and capabilities via the Model Context Protocol. Serper enables AI to access Google Search results via a powerful Google Search API, supporting location, language, and t It is categorized under search web.
How to install
You can install Serper (Google Search) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Serper (Google Search) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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": "<Your 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 -
Add the configuration for you client:
{ "mcpServers": { "serper": { "command": "python3", "args": ["-m", "serper_mcp_server"], "env": { "SERPER_API_KEY": "<Your Serper API key>" } } } }
Using pip for globally usage
-
Make sure the
piporpip3is in your os system.pip install serper-mcp-server # or pip3 install serper-mcp-server -
MCP client code configuration or Claude settings, add
serpermcp server:{ "mcpServers": { "serper": { "command": "python3", "args": ["serper-mcp-server"], "env": { "SERPER_API_KEY": "<Your Serper API key>" } } } }
Debugging
You can use the MCP inspector to debug the server. For uvx installations:
npx @modelcontextprotocol/inspector uvx serper-mcp-server
Or if you've installed the package in a specific directory or are developing on it:
git clone https://github.com/garylab/serper-mcp-server.git
cd serper-mcp-server
npx @modelcontextprotocol/inspector uv run serper-mcp-server -e SERPER_API_KEY=<the key>
License
serper-mcp-server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
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