TimeLooker
Monitors search queries, detects new content using AI, and automates payments for task creation through x402 integration.
About
TimeLooker is a Model Context Protocol (MCP) server designed to provide automated search monitoring capabilities. It enables users to set up tasks for tracking specific search queries, leverages AI-powered duplicate detection to identify truly new content, and integrates the x402 protocol for automatic payment processing when creating new monitoring tasks. The system offers flexible monitoring options, rich search results, email notifications for new findings, and comprehensive history tracking, making it a robust solution for staying updated on specific web content.
Key Features
- AI-Powered Duplicate Detection
- 2 GitHub stars
- Flexible Monitoring with configurable frequency and runtime
- Email Notifications for new items found
- x402 Payment Integration
- Full History Tracking of task executions
Use Cases
- Follow developments in research fields (e.g., AI safety research papers)
- Track job postings for specific roles (e.g., remote Python jobs)
- Monitor new product releases (e.g., iPhone releases)