Kivv
kivv is an automatic arXiv research paper discovery and AI intelligent summarization system, integrated with Claude Desktop via the MCP protocol, supporting multi - user, RSS subscription, and cost optimization, and built on Cloudflare Workers.
rating : 2 points
downloads : 7.0K
What is kivv?
kivv is an automated research assistant designed specifically for researchers, scholars, and students. It automatically searches arXiv (the world's largest pre - print paper library) daily to find the latest papers matching your research interests, and then uses Claude AI to generate concise and understandable summaries. You can use it directly in the Claude Desktop chat interface without manually searching and reading a large number of papers.How to use kivv?
Using kivv is very simple: 1) Deploy it to Cloudflare Workers (the free tier is available), 2) Configure the MCP server in Claude Desktop, 3) Set your research topics of interest. After that, the system will automatically collect and summarize papers for you. You can subscribe via RSS or query directly in Claude.Applicable scenarios
• Researchers track the latest progress in specific fields • Postgraduate students look for relevant literature and inspiration • Interdisciplinary researchers understand the dynamics of other fields • Anyone who needs to read academic papers regularly but has limited time • Scenarios where teams collaborate to share research findingsMain features
Daily automated search
The system automatically scans arXiv every day, filters relevant papers according to the topic keywords you set (e.g.,'machine learning', 'quantum computing'), without manual operation.
AI intelligent summary
Use Claude 3.5 Sonnet to generate paper summaries. For complex papers, the Haiku model is first used for pre - screening to save costs and ensure high - quality summaries with controllable costs.
Claude Desktop integration
Integrated directly into Claude Desktop via the Model Context Protocol (MCP). You can directly query papers and get recommendations in the chat interface for a seamless experience.
Multi - user support
Supports multiple users to use independently. Each user can set their own research interests and view their personal paper library, with completely isolated data.
RSS subscription
Generate a dedicated RSS/Atom subscription link for each user, which can be subscribed to using any reader (e.g., Feedly, Inoreader) to follow the latest research like following a blog.
Cost optimization
Intelligently use different Claude models: use Haiku for simple summaries and Sonnet for complex analyses. Run on the Cloudflare free tier, with a monthly cost of about $3 (for 2 users).
Advantages
Fully automated: Set it once and get the latest research automatically every day
Save time: AI summaries allow you to quickly understand the core of papers without reading the full text
Integrated experience: Use it directly in Claude without switching applications
Extremely low cost: Cloudflare free tier + intelligent model selection, almost free for personal use
Flexible subscription: RSS support allows you to receive updates using your preferred tools
Privacy protection: User data is isolated, and only public arXiv papers are processed
Limitations
Only supports arXiv: Currently does not support other paper libraries (e.g., PubMed, IEEE Xplore)
Requires technical deployment: Basic knowledge of Cloudflare and API configuration is required
Depends on the Claude API: A valid Anthropic API key is required
Summaries may miss details: AI summaries cannot completely replace careful reading of the full text
Delayed updates: Batch - processed daily, not real - time push
How to use
Prepare the environment
Register a Cloudflare account and enable Workers, D1, KV, and R2 services. Obtain an Anthropic Claude API key. Install the Bun package manager.
Clone and configure
Download the kivv code, copy the environment configuration file, and fill in your API key and Cloudflare account information.
Deploy to Cloudflare
Use the provided script or manually deploy two Workers: the automation Worker (to handle daily tasks) and the MCP server Worker (to communicate with Claude).
Configure Claude Desktop
Add the MCP server information, including the URL and API key, to the Claude Desktop configuration file.
Set research interests
Set your research topics of interest through the Claude chat interface or API, and the system will start collecting relevant papers for you.
Usage examples
A computer science postgraduate student tracks the latest progress
Alice is a postgraduate student in the field of machine learning. She sets her interests as ['deep learning','reinforcement learning', 'computer vision']. Every morning, she views the summaries of 3 - 5 selected papers pushed by kivv through her RSS reader, quickly understanding the dynamics of the field and saving several hours of manual searching time.
An interdisciplinary researcher explores a new field
Bob is a biologist who wants to understand the application of AI in drug discovery. He sets his interests as ['AI drug discovery', 'bioinformatics', 'protein folding']. kivv helps him filter relevant papers on arXiv, avoiding being overwhelmed by a large number of irrelevant CS papers.
A research team shares findings
A 5 - person research team each has their own kivv account but shares some common interest topics. Before their weekly meetings, they learn about the latest papers through their respective RSS subscriptions and then discuss relevant research in the meetings.
Frequently Asked Questions
Is kivv free?
Do I need programming knowledge to use it?
How is data privacy ensured?
What is the quality of the summaries? Will important information be missed?
Does it support papers in Chinese or other languages?
What should I do if I encounter problems during deployment?
Related resources
Complete deployment guide
Detailed step - by - step deployment instructions, including screenshots and troubleshooting
GitHub repository
Source code, issue feedback, and the latest updates
Cloudflare Workers documentation
Understand the Cloudflare Workers platform
Model Context Protocol
Official specification of the MCP protocol
arXiv official website
Source library of papers

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