DuckDuckGo Search
Createdspences10
Integrates DuckDuckGo search capabilities into Large Language Models via the Model Context Protocol.
About
Provides comprehensive web search functionality for LLMs, leveraging DuckDuckGo's search engine through the Model Context Protocol. It supports a wide array of result types, including knowledge graphs, organic search results, news, videos, and images. Features include region-specific searches, configurable safe search levels, date-based filtering, pagination, and built-in result caching, enabling LLMs to access up-to-date and relevant information from the web.
Key Features
- Comprehensive web search using DuckDuckGo
- Supports various result types (knowledge graph, organic, news, video, images)
- Region-specific search
- Configurable safe search levels
- Date-based filtering
Use Cases
- Enhancing LLM responses with real-time web information
- Providing context for AI assistants and chatbots
- Automating research and data gathering tasks
