MCP is for tools. A2A is for agents. What's for websites?
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HTTP lets agents fetch pages. Cloudflare's Markdown for Agents lets them fetch more efficiently. MCP (Anthropic) connects agents to developer-defined tools. A2A (Google) lets agents delegate to other agents. But there's a missing layer: how does an agent execute a multi-step task on a website -- add to cart, fill a form, complete a checkout - with the site owner's consent and visibility?Today's agents either scrape (no consent, no structure) or the site builds a separate API (expensive, doesn't cover the long tail). The web's original protocols assumed someone is looking at a screen. That assumption is breaking.We wrote a whitepaper mapping the full protocol landscape - Cloudflare's Pay Per Crawl and Web Bot Auth (RFC 9421), MCP, A2A, x402, llms.txt - and categorizing 5 distinct agent architectures (text-based, CUA/screenshot, DOM-based, API-calling, hybrid). Each needs different discovery, execution, and identity mechanisms. We think MCP, A2A, and execution protocols are complementary layers, not competitors. The paper draws parallels to TCP/HTTP design decisions.Rover is our attempt at the execution layer. It's a DOM-native SDK the site owner installs. The Agent Task Protocol is one HTTP endpoint: POST /v1/tasks with { url, prompt }. Agents get back a task URL supporting JSON polling, SSE, or NDJSON. The site controls what agents can do and gets analytics on what they actually did. We're probably wrong about some of this -- would appreciate the feedback.Paper: https://www.rtrvr.ai/blog/agent-web-protocol-stack Code: https://github.com/rtrvr-ai/rover (FSL-1.1-Apache-2.0)
HN · launched Apr 12, 2026 · 5 upvotes (top 89%) · 0 views
Niche: multi-agent frameworks and protocols · 298 launches, 11 in the last 7 days ▼ -31% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI feature
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 298 launches in multi-agent frameworks and protocols →
Could you build this?
No Retriever AI (A2W) is an extensive browser-agent execution platform combining distributed headless browser orchestration, anti-bot circumvention, computer vision DOM reasoning, and fine-tuned action models at scale.
What it would actually take: A production web agent platform requires a massive cluster of headless browsers (e.g., Playwright/Puppeteer running inside isolated containers), sophisticated fingerprint spoofing to bypass Cloudflare/Akamai, and multimodal LLMs fine-tuned specifically on browser interaction trajectories. The difficult challenges are handling dynamic SPAs, stateful multi-step form fills, robust error recovery, and low-latency vision-action loops. This requires a dedicated infrastructure and ML engineering team.
Discussion
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Competitors
Other products that read as similar to this one : 656 launches clear the similarity bar, closest 8 shown.
Attention rank: #633 of 657 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 160 days after the earliest competitor.
- Web MCP connect AI agent to the internet · ph · 2026-09-26 · 1 upvotes · similarity 0.56
- AgentDM · hn · 2026-04-09 · 6 upvotes · similarity 0.55
- OpenLinker · ph · 2026-11-12 · 1 upvotes · similarity 0.52
- Rtrvr.ai · hn · 2025-11-12 · 6 upvotes · similarity 0.50
- CrawlForge MCP · ph · 2026-10-19 · 70 upvotes · similarity 0.50
- web-check-mcp · ph · 2026-10-26 · 1 upvotes · similarity 0.49
- Risk Analysis Database of Every MCP Server · hn · 2026-02-05 · 22 upvotes · similarity 0.47
- SaaS Websites Inspirations MCP · ph · 2026-11-01 · 2 upvotes · similarity 0.47
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