mcp-duckduckgo-search

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⚠️ Notice

This repository is no longer maintained.

The functionality of this tool is now available in mcp-omnisearch, which combines multiple MCP tools in one unified package.

Please use mcp-omnisearch instead.

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A Model Context Protocol (MCP) server for integrating DuckDuckGo search capabilities with LLMs. This server provides comprehensive web search functionality with support for various result types and filtering options.

<a href="https://glama.ai/mcp/servers/v99lwtriyk"> <img width="380" height="200" src="https://glama.ai/mcp/servers/v99lwtriyk/badge" /> </a>

Features

• 🔍 Comprehensive web search using DuckDuckGo's search engine
• 📊 Rich result types including:
  • Knowledge graph information
  • Organic search results
  • News articles
  • Video content
  • Image results
  • Related searches
• 🌍 Region-specific search support
• 🛡️ Configurable safe search levels
• 📅 Date-based filtering options
• 📄 Pagination support
• 💾 Built-in result caching
• 🔒 Safe search options (off, moderate, strict)

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"mcp-duckduckgo-search": {
			"command": "npx",
			"args": ["-y", "mcp-duckduckgo-search"],
			"env": {
				"SERPAPI_KEY": "your-serpapi-api-key"
			}
		}
	}
}

Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

{
	"mcpServers": {
		"mcp-duckduckgo-search": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"source ~/.nvm/nvm.sh && SERPAPI_KEY=your-serpapi-api-key /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-duckduckgo-search"
			]
		}
	}
}

Environment Variables

The server requires the following environment variable:

• SERPAPI_KEY: Your SerpAPI key (required)

API

The server implements a single MCP tool with configurable parameters:

ddg_search

Perform web searches using the DuckDuckGo search engine.

Parameters:

• query (string, required): Search query
• region (string, optional): Region code (e.g., us-en, uk-en) (default: us-en)
• safe_search (string, optional): Safe search level (off, moderate, strict) (default: moderate)
• date_filter (string, optional): Filter results by date:
  • 'd': past day
  • 'w': past week
  • 'm': past month
  • 'y': past year
  • Custom range: '2023-01-01..2023-12-31'
• start (number, optional): Result offset for pagination
• no_cache (boolean, optional): Bypass cache for fresh results (default: false)

Response includes:

• Knowledge graph data when available
• Organic search results
• News articles
• Video content
• Image results
• Related searches
• Search metadata

Development

Setup

1. Clone the repository
2. Install dependencies:

pnpm install

3. Build the project:

pnpm build

4. Run in development mode:

pnpm dev

Publishing

The project uses changesets for version management. To publish:

1. Create a changeset:

pnpm changeset

2. Version the package:

pnpm changeset version

3. Publish to npm:

pnpm release

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see the LICENSE file for details.

Acknowledgments

• Built on the Model Context Protocol
• Powered by DuckDuckGo through SerpAPI