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This repository is no longer maintained.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.
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 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:
pnpm install
- Build the project:
pnpm build
- Run in development mode:
pnpm dev
Publishing
The project uses changesets for version management. To publish:
- Create a changeset:
pnpm changeset
- Version the package:
pnpm changeset version
- 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
DuckDuckGo Search
Project Details
- spences10/mcp-duckduckgo-search
- mcp-duckduckgo-search
- MIT License
- Last Updated: 4/5/2025
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