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SerpApi MCP Server for Google and other search engine results

168 stars PythonOthers Updated Sep 2, 2026

Documentation

SerpApi MCP Server

A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction.

Python 3.13+
MIT License
Install in VS Code
Install in Cursor

Features

  • Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more
  • Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool)
  • Real-time Weather Data: Location-based weather with forecasts via search queries
  • Stock Market Data: Company financials and market data through search integration
  • Dynamic Result Processing: Automatically detects and formats different result types
  • Flexible Response Modes: Complete or compact JSON responses
  • JSON Responses (default): Structured JSON output with complete or compact modes
  • Markdown Responses: Cut token usage by 50% on average and by more than 90% for APIs with complex nested JSON.
  • Interactive UI (MCP Apps): Opt-in `search_table` and `search_dashboard` tools that render results as an interactive UI in supporting hosts

Quick Start

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:

json
{
  "mcpServers": {
    "serpapi": {
      "type": "http",
      "url": "https://mcp.serpapi.com/YOUR_SERPAPI_API_KEY/mcp"
    }
  }
}

You can also add the hosted server to these MCP clients:

OpenClaw

bash
openclaw mcp add serpapi --url https://mcp.serpapi.com/YOUR_SERPAPI_API_KEY/mcp --transport streamable-http

Claude Code

bash
claude mcp add --transport http serpapi https://mcp.serpapi.com/YOUR_SERPAPI_API_KEY/mcp

Hermes

bash
hermes mcp add serpapi --url https://mcp.serpapi.com/YOUR_SERPAPI_API_KEY/mcp

Codex

bash
codex mcp add serpapi --url https://mcp.serpapi.com/YOUR_SERPAPI_API_KEY/mcp

Self-Hosting

bash
git clone https://github.com/serpapi/serpapi-mcp.git
cd serpapi-mcp
uv sync && uv run src/server.py

Configure Claude Desktop:

json
{
  "mcpServers": {
    "serpapi": {
      "type": "http",
      "url": "http://localhost:8000/YOUR_SERPAPI_API_KEY/mcp"
    }
  }
}

Get your API key: serpapi.com/manage-api-key

Authentication

Two methods are supported:

  • Path-based: `/YOUR_API_KEY/mcp` (recommended)
  • Header-based: `Authorization: Bearer YOUR_API_KEY`

Examples:

bash
# 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 '...'

Search Tool

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/`.

The parameters you can provide are specific for each API engine. Some sample parameters are provided below:

  • `params.q` (required): Search query
  • `params.engine`: Search engine (default: "google_light")
  • `params.location`: Geographic filter
  • `params.output`: Response format; omit for JSON (default), or set to `"md"` for Markdown
  • `mode`: Response mode; `"compact"` removes metadata from JSON, while Markdown is returned unchanged
  • ...see other parameters on the SerpApi API reference

Examples:

json
{"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"}}
{"name": "search", "arguments": {"params": {"q": "news", "output": "md"}}}
{"name": "search", "arguments": {"params": {"engine": "amazon", "k": "mechanical keyboards", "amazon_domain": "amazon.com", "output": "md"}}}
{"name": "search", "arguments": {"params": {"engine": "google_scholar", "q": "retrieval augmented generation"}}}
{"name": "search", "arguments": {"params": {"engine": "youtube", "search_query": "how to make espresso"}}}
{"name": "search", "arguments": {"params": {"engine": "apple_app_store", "term": "habit tracker"}}}
{"name": "search", "arguments": {"params": {"engine": "ebay", "_nkw": "vintage mechanical keyboard"}}}

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.

Interactive UI (MCP Apps)

The default `search` tool returns JSON and is unchanged. For hosts that support the MCP Apps extension (SEP-1865), two opt-in tools render results as an interactive UI directly in the conversation, so the bulk SERP JSON never enters the model's context window:

  • `search_table`: organic results as a sortable, searchable table.
  • `search_dashboard`: summary metrics, a source-breakdown chart, and a results table with a click-to-expand detail panel.

Both accept the same `params` as `search`. Hosts that don't support MCP Apps simply ignore these tools.

Preview them locally without an MCP host:

bash
uv run fastmcp dev apps src/server.py

Development

bash
# 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"

Troubleshooting

  • "Missing API key": Include key in URL path `/{YOUR_KEY}/mcp` or header `Bearer YOUR_KEY`
  • "Invalid key": Verify at serpapi.com/dashboard
  • "Rate limit exceeded": Wait or upgrade your SerpApi plan
  • "No results": Try different query or engine

Contributing

1. Fork the repository

2. Create your feature branch: `git checkout -b feature/amazing-feature`

3. Install dependencies: `uv install`

4. Make your changes

5. Commit changes: `git commit -m 'Add amazing feature'`

6. Push to branch: `git push origin feature/amazing-feature`

7. Open a Pull Request

License

MIT License - see LICENSE file for details.

Frequently asked questions

What is serpapi-mcp?

serpapi-mcp is SerpApi MCP Server for Google and other search engine results

How do I install serpapi-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is serpapi-mcp open source?

Yes — it is hosted on GitHub at https://github.com/serpapi/serpapi-mcp and has 168 stars.

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