Automate content discovery and curation using AI agents and workflow tools.
AI-Powered Automation
Curyloop's MCP server and REST API let AI agents automatically discover, evaluate, and curate content into your sessions - turning hours of manual research into a single prompt.
Overview
| Page | Description |
|---|---|
| AI Agents | Overview of all supported AI agent integrations |
| n8n Workflows | Scheduled automation with RSS, GitHub, and Twitter |
| Use Cases | Real-world scenarios and workflow patterns |
| Tips | Best practices for effective automation |
Integration Guides
| Tool | Description |
|---|---|
| Claude Code | Terminal-based AI curation with Claude Code |
| Cline | AI-powered curation in VS Code with Cline |
| Cursor | Research and save resources inside Cursor IDE |
| Windsurf | Let Cascade manage your research in Windsurf |
| Claude Desktop | Conversational knowledge curation with Claude |
| GitHub Copilot | Save references while coding with Copilot |
How It Works
You describe what you're looking for in natural language. The AI agent searches the web, evaluates results, and adds the best ones directly to your Curyloop session using MCP tools.
Example
"Find the 5 best articles and repos about React Server Components
and add them to my 'Frontend Trends' session in Curyloop."
Agent flow:
list_groups- finds your groupslist_sessions- locates "Frontend Trends" session- Web search - discovers top articles and repos
add_itemx 5 - adds each result with title, description, and priority
No manual copy-pasting. No tab switching. The agent handles discovery, evaluation, and organization in one go.