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qualityA Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
Last updated -
2
26
Python
MIT License
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Why this server?
Provides web search capabilities through DuckDuckGo, with features for content fetching and parsing across a domain.
Why this server?
Provides DuckDuckGo search functionality for Claude, enabling web search capabilities through a clean tool interface with rate limiting support.
Why this server?
Offers summarization of web pages, which can be helpful for extracting information from multiple pages of a domain.
Why this server?
Integrates Perplexity AI's API, allowing Claude to perform web-based research and provide answers with citations.
Why this server?
Enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access.
Why this server?
Provides AI-powered web search capabilities using Tavily's search API, enabling LLMs to perform sophisticated web searches, get direct answers to questions, and search recent news articles.
Why this server?
Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration and detailed webpage analysis.
Why this server?
Enables users to download entire websites and their assets for offline access, supporting configurable depth and concurrency settings. This can be useful for researching an entire domain.
Why this server?
Allows language models to perform web searches through SearXNG using the Model Context Protocol standard.
Why this server?
A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys.