A favicon of DuckDuckGo Search

DuckDuckGo Search

Integrate DuckDuckGo search capabilities with LLMs.

Installation

Installing for Claude Desktop

Option 1: One-Command Installation

npx mcpbar@latest install spences10/mcp-duckduckgo-search -c claude

This command will automatically install and configure the DuckDuckGo Search MCP server for your selected client.

Option 2: Manual Configuration

Run the command below to open your configuration file:

npx mcpbar@latest edit -c claude

After opening your configuration file, copy and paste this configuration:

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

mcp-duckduckgo-search


⚠️ 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This repository is no longer maintained.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.


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.

image

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:

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
  1. Build the project:
pnpm build
  1. Run in development mode:
pnpm dev

Publishing

The project uses changesets for version management. To publish:

  1. Create a changeset:
pnpm changeset
  1. Version the package:
pnpm changeset version
  1. 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

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  • Last commit


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