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Why this server?
This server allows searching for New York Times articles from the last 30 days based on a keyword.
Why this server?
This server provides access to Jina AI's web services (page reading, web search, fact checking) through Claude, enabling paper research and summarization.
Why this server?
This server extracts and transforms webpage content into clean, LLM-optimized Markdown, which is useful for summarizing papers.
Why this server?
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices. Useful for summarizing technical papers
Why this server?
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
Why this server?
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support; could be useful for summarizing video papers.
Why this server?
Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
Why this server?
Model Context Protocol (MCP) Server for retrieving saved articles from Pocket API and loading them into Claude
Why this server?
A server that enables AI assistants like Claude to perform web searches using the Exa AI Search API, providing real-time web information in a safe and controlled way for research purposes.
Why this server?
A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease; this could be used to fetch papers and convert them into an easy-to-summarize format.