DuckDuckGo
Enables web search through DuckDuckGo and intelligently fetches and parses webpage content.
About
This Model Context Protocol (MCP) server provides robust web search capabilities leveraging DuckDuckGo, coupled with advanced content fetching features. It is designed to intelligently retrieve and parse webpage content, extracting relevant text. The server includes built-in rate limiting to ensure stable operation and formats its output specifically for seamless consumption by large language models, making it an ideal tool for AI-driven applications requiring up-to-date web information.
Key Features
- Web search via DuckDuckGo with rate limiting
- Intelligent content fetching and parsing from webpages
- Results formatted for large language model (LLM) consumption
- Dockerized for easy deployment and integration
- 0 GitHub stars
Use Cases
- Integrating real-time web search capabilities into LLMs
- Automating content acquisition and parsing for AI applications
- Providing web-based information to AI assistants
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