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- serper-mcp-server
Serper Mcp Server
What is Serper Mcp Server
serper-mcp-server is a Model Context Protocol server that provides Google Search results via Serper, enabling large language models (LLMs) to retrieve search information from Google.
Use cases
Use cases include enhancing chatbots with real-time information, integrating search capabilities into applications, and providing up-to-date data for research and analysis.
How to use
To use serper-mcp-server, you can either install it using ‘uv’ or add it to your project’s requirements.txt file. For ‘uv’, configure your MCP client with the server command and your Serper API key. For ‘pip’, add ‘serper-mcp-server’ to requirements.txt and install it, then configure your client accordingly.
Key features
Key features include the ability to perform Google searches with customizable parameters such as query, country, location, language, time period, number of results, and pagination.
Where to use
serper-mcp-server can be used in various fields including AI development, data retrieval, and any application that requires real-time access to Google search results.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Serper Mcp Server
serper-mcp-server is a Model Context Protocol server that provides Google Search results via Serper, enabling large language models (LLMs) to retrieve search information from Google.
Use cases
Use cases include enhancing chatbots with real-time information, integrating search capabilities into applications, and providing up-to-date data for research and analysis.
How to use
To use serper-mcp-server, you can either install it using ‘uv’ or add it to your project’s requirements.txt file. For ‘uv’, configure your MCP client with the server command and your Serper API key. For ‘pip’, add ‘serper-mcp-server’ to requirements.txt and install it, then configure your client accordingly.
Key features
Key features include the ability to perform Google searches with customizable parameters such as query, country, location, language, time period, number of results, and pagination.
Where to use
serper-mcp-server can be used in various fields including AI development, data retrieval, and any application that requires real-time access to Google search results.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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_parents- 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:
cd path/to/servers/src/serper
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










