MCP DuckDuckGo Search Server

by spences10
Verified

mcp-duckduckgo-search

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:

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

-
security - not tested
A
license - permissive license
-
quality - not tested

Enables integration with DuckDuckGo search capabilities for LLMs, supporting comprehensive web search, regional filtering, result types, and safe browsing with caching and customizable search parameters.

  1. Features
    1. Configuration
      1. Cline Configuration
        1. Claude Desktop with WSL Configuration
          1. Environment Variables
          2. API
            1. ddg_search
            2. Development
              1. Setup
                1. Publishing
                2. Contributing
                  1. License
                    1. Acknowledgments