DDGS

About

DDGS, or Dux Distributed Global Search, is a powerful Python metasearch library designed to consolidate information from multiple web search engines. It offers a programmatic interface to perform diverse searches, including text, images, videos, news, and books, leveraging a variety of backend services. Beyond its library functionality, DDGS provides an API server with integrated MCP (Multi-Agent Communication Protocol) support, enabling AI-assisted search capabilities and easy deployment via Docker.

Key Features

• Supports diverse search types: text, images, videos, news, and books
• 2,026 GitHub stars
• Integrates with MCP for AI-assisted search functionality
• Offers a deployable API server with Docker support
• Aggregates results from multiple search engines (e.g., Bing, Google, DuckDuckGo, Yandex)
• Provides a Python library for easy integration and use

Use Cases

• Building applications that require consolidated search results from various web sources
• Integrating advanced search capabilities into AI agents or assistant systems via MCP
• Automating web content discovery and data collection for research or analysis