kivv

kivv

Automated arXiv research paper discovery and AI-powered summarization system that enables Claude Desktop users to search, retrieve, and get intelligent summaries of academic papers through MCP integration.

Category
Visit Server

README

<picture> <source media="(prefers-color-scheme: dark)" srcset="assets/hero-dark.svg"> <source media="(prefers-color-scheme: light)" srcset="assets/hero.svg"> <img alt="kivv - arXiv Research Assistant" src="assets/hero.svg"> </picture>

Automated arXiv research paper discovery and AI-powered summarization system with MCP (Model Context Protocol) integration for Claude Desktop. Built as a vibe-coding project, we keep the tooling lightweight and the feedback loop fast so you can stay in flow while shipping research insights.

Features

  • Daily Automation: Automatically searches arXiv for papers matching your topics
  • AI Summaries: Claude-powered intelligent paper summarization with cost optimization
  • Multi-User: Support for multiple users with independent topic configurations
  • MCP Integration: Direct integration with Claude Desktop via Model Context Protocol
  • RSS Feeds: Per-user RSS/Atom feeds for any feed reader
  • Web Dashboard: Optional SvelteKit dashboard (coming soon)
  • Cost-Effective: Runs mostly on Cloudflare free tier (~$3/month for 2 users)

Architecture

  • MCP Server: TypeScript Worker handling MCP protocol and tool execution
  • Daily Automation: Cron-triggered Worker for paper collection and summarization
  • Storage: Cloudflare D1 (SQLite), R2 (PDFs), KV (cache)
  • AI: Claude 3.5 Sonnet with Haiku triage for cost optimization

Quick Start

Prerequisites

  • Cloudflare account with Workers, D1, KV, and R2 enabled
  • Anthropic Claude API key (console.anthropic.com)
  • Bun 1.1+ (package manager - install from bun.sh)
  • Wrangler CLI (installed automatically via bun)

Installation

# Clone the repository
git clone https://github.com/jeffaf/kivv.git
cd kivv

# Install dependencies with bun (our vibe-coding default)
bun install

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys and Cloudflare credentials

Deployment

For complete deployment instructions, see DEPLOYMENT.md.

Quick deployment:

# Set secrets for automation worker
cd automation
wrangler secret put CLAUDE_API_KEY
wrangler secret put CRON_SECRET

# Deploy automation worker
wrangler deploy

# Deploy MCP server
cd ../mcp-server
wrangler deploy

# Configure Claude Desktop (see DEPLOYMENT.md for details)
# Add MCP server URL and API key to Claude Desktop config

Verification

# Test automation worker
curl https://kivv-automation.<username>.workers.dev/health

# Test MCP server
curl https://kivv-mcp.<username>.workers.dev/health

# Check database
wrangler d1 execute kivv-db --command "SELECT COUNT(*) FROM users"

# Or use the automated health check script
./scripts/health-check.sh

See TROUBLESHOOTING.md if you encounter any issues.

Automated Deployment Script

For one-command deployment:

# Run the automated deployment script
./scripts/deploy.sh

# This will:
# - Verify prerequisites
# - Check infrastructure
# - Configure secrets
# - Deploy both workers
# - Provide Claude Desktop config

Project Structure

kivv/
├── mcp-server/          # MCP Server Worker (Claude integration)
├── automation/          # Daily automation Worker (cron)
├── shared/              # Shared types and utilities
├── tests/
│   ├── security/       # Security tests (auth, injection, XSS)
│   ├── integration/    # MCP tool integration tests
│   └── unit/           # Unit tests
├── .checkpoint/         # Development checkpoints
└── package.json         # Monorepo root with workspaces

Documentation

CI & Automation

  • Tests & Type Checks: GitHub Actions run bun run type-check and bun test on pushes and pull requests to keep the vibe coding fast without breaking the build.
  • Deployments: Cloudflare Workers deploy pipelines trigger when mcp-server/ or automation/ change, using wrangler with your configured Cloudflare credentials.

Development

# Run type checking
bun run type-check

# Run all tests
bun test

# Run security tests specifically
bun run test:security

# Run tests in watch mode
bun run test:watch

# Run MCP server locally
bun run dev:mcp

# Run automation worker locally
bun run dev:automation

# Build all workspaces
bun run build

Testing

The project includes comprehensive test coverage:

  • Security Tests (100% coverage required):

    • Authentication (API key validation)
    • Authorization (user data isolation)
    • SQL injection prevention
    • XSS prevention in RSS feeds
    • Rate limiting enforcement
  • Integration Tests: End-to-end MCP tool workflows

  • Unit Tests: Isolated utility function testing

# Run with coverage report
bun run test:coverage

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured