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qualityA Model Context Protocol server that acts as a proxy to provide LLM access to Perplexica's AI-powered search engine, enabling AI assistants to perform searches with various focus modes.
Last updated -
1
16
MIT License
Why this server?
Acts as a bridge to Perplexica's specialized AI-powered search engine, which is ideal for finding comprehensive and cited answers to complex questions.
Why this server?
Directly provides web search capabilities using DuckDuckGo and can optionally fetch and summarize content from search results to provide answers.
Why this server?
Enables general web search using the Brave Search API, a primary tool for retrieving up-to-date information and answers from the internet.
Why this server?
Facilitates comprehensive research by employing search and crawl APIs (Tavily) to gather structured data, highly effective for finding complex answers.
Why this server?
Provides tools for retrieving content from different knowledge bases using semantic search, which is essential for finding targeted answers within existing documents.
Why this server?
Offers specialized search tools, including web content extraction and academic paper search (arXiv), enhancing the ability to find diverse types of information and answers.
Why this server?
Enables performing Google Custom Search queries, a core function for searching the broader web to find answers.
Why this server?
Enables sophisticated web searches using the Tavily API, useful for gathering current and reliable information to form an answer.
Why this server?
Implements Retrieval-Augmented Generation (RAG), a key technique for answering questions by searching and synthesizing information from ingested documents.
Why this server?
Allows AI models to scrape and extract structured data from any website, enabling the direct collection of information needed to answer questions.