About Serper MCP Server
Serper MCP Server is an MCP server that provides Google Search through the Serper API, letting LLMs retrieve Google search results. It offers tools for web, image, video, news, scholarly and patent search, along with webpage scraping.
Key features
- 01Web, image and video Google search tools
- 02Places, maps and reviews search
- 03News, shopping and patent search
- 04Google Scholar search
- 05Webpage content scraping
Use cases
- 01Give an LLM access to live Google search results
- 02Retrieve news, scholarly papers or patent information
- 03Scrape webpage content from search results
MCP support
The project runs as an MCP server, exposing google_search tools and a webpage_scrape tool to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
13Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| gl | any | No | The country to search in, e.g. us, uk, ca, au, etc. |
| hl | any | No | The language to search in, e.g. en, es, fr, de, etc. |
| location | any | No | The location to search in, e.g. San Francisco, CA, USA |
| num | integer | No | The number of results to return, max is 100 |
| page | any | No | The page number to return, first page is 1 |
| q | string | Yes | The query to search for |
| tbs | any | No | The time period to search in, e.g. d, w, m, y |
Details
From the project READMESerper 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.
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.