Server data from the Official MCP Registry
Official SerpApi MCP server for Google, Bing, and other search engines.
Official SerpApi MCP server for Google, Bing, and other search engines.
Remote endpoints: sse: https://mcp.serpapi.com/mcp
Valid MCP server (0 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
5 files analyzed · No issues found
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Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction.
SerpApi MCP Server is available as a hosted service at mcp.serpapi.com. In order to connect to it, you need to provide an API key. You can find your API key on your SerpApi dashboard.
You can configure Claude Desktop to use the hosted server:
{
"mcpServers": {
"serpapi": {
"type": "http",
"url": "https://mcp.serpapi.com/YOUR_SERPAPI_API_KEY/mcp"
}
}
}
git clone https://github.com/serpapi/serpapi-mcp.git
cd serpapi-mcp
uv sync && uv run src/server.py
Configure Claude Desktop:
{
"mcpServers": {
"serpapi": {
"type": "http",
"url": "http://localhost:8000/YOUR_SERPAPI_API_KEY/mcp"
}
}
}
Get your API key: serpapi.com/manage-api-key
Two methods are supported:
/YOUR_API_KEY/mcp (recommended)Authorization: Bearer YOUR_API_KEYExamples:
# Path-based
curl "https://mcp.serpapi.com/your_key/mcp" -d '...'
# Header-based
curl "https://mcp.serpapi.com/mcp" -H "Authorization: Bearer your_key" -d '...'
The MCP server has one main Search Tool that supports all SerpApi engines and result types. You can find all available parameters on the SerpApi API reference.
Engine parameter schemas are also exposed as MCP resources: serpapi://engines (index) and serpapi://engines/<engine>.
The parameters you can provide are specific for each API engine. Some sample parameters are provided below:
params.q (required): Search queryparams.engine: Search engine (default: "google_light")params.location: Geographic filtermode: Response mode - "complete" (default) or "compact"Examples:
{"name": "search", "arguments": {"params": {"q": "coffee shops", "location": "Austin, TX"}}}
{"name": "search", "arguments": {"params": {"q": "weather in London"}}}
{"name": "search", "arguments": {"params": {"q": "AAPL stock"}}}
{"name": "search", "arguments": {"params": {"q": "news"}, "mode": "compact"}}
{"name": "search", "arguments": {"params": {"q": "detailed search"}, "mode": "complete"}}
Supported Engines: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more (see serpapi://engines).
Result Types: Answer boxes, organic results, news, images, shopping - automatically detected and formatted.
# Local development
uv sync && uv run src/server.py
# Docker
docker build -t serpapi-mcp . && docker run -p 8000:8000 serpapi-mcp
# Regenerate engine resources (Playground scrape)
python build-engines.py
# Testing with MCP Inspector
npx @modelcontextprotocol/inspector
# Configure: URL mcp.serpapi.com/YOUR_KEY/mcp, Transport "Streamable HTTP transport"
/{YOUR_KEY}/mcp or header Bearer YOUR_KEYgit checkout -b feature/amazing-featureuv installgit commit -m 'Add amazing feature'git push origin feature/amazing-featureMIT License - see LICENSE file for details.
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