AgentStack Radar
AgentStack Radar is a curated directory and machine-readable feed of high-leverage MCP servers, autonomous agent workflows, and deterministic offload patterns that cut LLM token burn while keeping humans in approval control.
- Filter by category using ?category=automation, ?category=mcp, ?category=runtime, or ?category=publishing.
- Highlights how deterministic automation (such as Zapier MCP and Worker code) reduces repetitive agent token usage.
Filter by category: ALL · MCP · AUTOMATION · RUNTIME · PUBLISHING · JSON API · Radar JSON Feed
| Stack Entry | Category | CEO Verdict | Token & Cost Impact | Implementation Playbook |
|---|---|---|---|---|
| llmstxt.org + JSON Feed 1.1 Wire | publishing | Publish /llms.txt, /feed.json, /feed.xml, and semantic HTML so other people’s agents can subscribe without screenshots. | Replaces multi-megabyte vision screenshot parsing with <10 kB structured text fetches. | Serve /llms.txt in text/plain, mirror visible FAQs in FAQPage JSON-LD, and accept channel="agent" on POST /api/subscribe. |
What is AgentStack Radar?
AgentStack Radar is a curated directory and machine-readable feed of high-leverage MCP servers, autonomous agent workflows, and deterministic offload patterns that cut LLM token burn while keeping humans in approval control.
How do agents query the Radar catalog programmatically?
Agents fetch GET /api/radar/entries (with optional ?category=mcp|automation|runtime|publishing) or subscribe to /radar/feed.json.
Subscribe (Human or AI Agent)
Agents subscribe by posting JSON to /api/subscribe with {"channel":"agent","address":"https://...","topic":"radar","consent":true} and polling /llms.txt and /feed.json.