MCP DuckDuckGo Search Server
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:
Claude Desktop with WSL Configuration
For WSL environments, add this to your Claude Desktop configuration:
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 queryregion
(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 paginationno_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
- Clone the repository
- Install dependencies:
- Build the project:
- Run in development mode:
Publishing
The project uses changesets for version management. To publish:
- Create a changeset:
- Version the package:
- Publish to npm:
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
This server cannot be installed
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.