Kivv

关于

Kivv is an automated system designed to streamline the research process by efficiently discovering relevant arXiv papers and generating AI-powered summaries. Developed with a focus on maintaining a lightweight footprint and enabling fast feedback loops, it empowers researchers to quickly gain insights and sustain their workflow. The system supports multiple users with independent topic configurations, provides per-user RSS/Atom feeds, and offers direct integration with Claude Desktop via the Model Context Protocol for enhanced AI interaction, all while maintaining a highly cost-effective operational model.

主要功能

• Multi-user support with independent topic configurations and RSS feeds
• Claude-powered intelligent paper summarization with cost optimization
• Daily automated arXiv paper discovery based on user topics
• Direct integration with Claude Desktop via Model Context Protocol (MCP)
• Cost-effective operation, primarily leveraging Cloudflare free tier
• 1 GitHub stars

使用案例

• Automating daily research paper discovery and summarization for individual researchers
• Providing AI-powered summaries of academic papers for quick insights
• Integrating research paper analysis directly into AI assistant workflows using Claude Desktop