by garylab
Serper enables AI to access Google Search results via a powerful Google Search API, supporting location, language, and t
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.
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.
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.
MIT
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.
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
Serper (Google Search) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Serper (Google Search) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Serper (Google Search) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Serper (Google Search) is the kind of server we cite when onboarding engineers to host + tool permissions.
Serper (Google Search) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Serper (Google Search) against two servers with overlapping tools; this profile had the clearer scope statement.
Serper (Google Search) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Serper (Google Search) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Serper (Google Search) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Serper (Google Search) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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A Model Context Protocol server that provides Google Search via Serper. This server enables LLMs to get search result information from Google.
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 parametersTo install Serper MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @garylab/serper-mcp-server --client claude
uv (recommended)Make sure you had installed uv on your os system.
In your MCP client code configuration or Claude settings (file claude_desktop_config.json) add serper mcp server:
{
"mcpServers": {
"serper": {
"command": "uvx",
"args": ["serper-mcp-server"],
"env": {
"SERPER_API_KEY": "<Your Serper API key>"
}
}
}
}
uv will download mcp server automatically using uvx from pypi.org and apply to your MCP client.
pip for projectAdd serper-mcp-server to your MCP client code requirements.txt file.
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>"
}
}
}
}
pip for globally usageMake sure the pip or pip3 is in your os system.
pip install serper-mcp-server
# or
pip3 install serper-mcp-server
MCP client code configuration or Claude settings, add serper mcp server:
{
"mcpServers": {
"serper": {
"command": "python3",
"args": ["serper-mcp-server"],
"env": {
"SERPER_API_KEY": "<Your Serper API key>"
}
}
}
}
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>
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.
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.