DuckDuckGo Search
Enables web search and content extraction using DuckDuckGo within Model Context Protocol (MCP) environments.
About
DuckDuckGo Search is a Model Context Protocol (MCP) server designed to integrate web search and URL content extraction capabilities into AI assistants and other MCP-compatible tools. It leverages DuckDuckGo for privacy-focused web searches and offers features like URL metadata extraction, content filtering, and smart caching for optimized performance. Unlike API-limited tools, it uses web scraping to provide comprehensive search results, making it a valuable asset for AI applications needing up-to-date information.
Key Features
- Performs web search using DuckDuckGo HTML
- Extracts URL content and metadata (title, description, images)
- Offers AI-powered search via Felo AI
- Optimized performance with caching and rate limiting
- 4 GitHub stars
- Compatible with Model Context Protocol (MCP)
Use Cases
- Integrating web search capabilities into AI assistants
- Extracting content and metadata from URLs for AI processing
- Performing privacy-focused web searches within MCP environments
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