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Why this server?
Provides an interface to arXiv's research repository, enabling precise paper searches and access to full paper content.
Why this server?
Enables semantic search and retrieval of documentation using a vector database (Qdrant), allowing you to add documentation from URLs or local files and then search through them using natural language queries.
Why this server?
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
Why this server?
Enables real-time web research with Claude by integrating Google search, capturing webpage content and screenshots, and tracking research sessions.
Why this server?
An MCP server that provides powerful search capabilities for Jewish texts and literature, enabling Large Language Models to search and reference them.
Why this server?
Enables real-time search and retrieval of academic paper information from multiple sources.
Why this server?
This MCP server performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries.
Why this server?
Transforms non-existent or unreadable docs into an intelligent, searchable knowledge base.
Why this server?
A Model Context Protocol (MCP) server that provides tools for searching and fetching information from Hacker News.
Why this server?
Enables iterative deep research by integrating AI agents with search engines, web scraping, and large language models for efficient data gathering and comprehensive reporting.