MCP is for tools. A2A is for agents. What's for websites?
Details
- External ID
- 47736402
- Source
- HN
- Company
- —
- Product
- MCP is for tools. A2A is for agents. What's for websites?
- Website domain
- rtrvr.ai
- Launched
- April 12, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.11182519280205655
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
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)
Enrichment
- Theme
- browser automation and scraping for AI
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- protocol for website agents
- Manually corrected
- False
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
No comments on this launch.
Competitors
Other products that read as similar to this one — 276 launches clear the similarity bar, closest 8 shown.
Attention rank: #262 of 277 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 159 days after the earliest competitor.
- Web MCP connect AI agent to the internet · ph · 2026-09-26 · 1 upvotes · similarity 0.55
- AgentDM · hn · 2026-04-09 · 6 upvotes · similarity 0.55
- Rtrvr.ai · hn · 2025-11-12 · 6 upvotes · similarity 0.49
- Risk Analysis Database of Every MCP Server · hn · 2026-02-05 · 22 upvotes · similarity 0.46
- Is Your Site Agent-Ready? by Cloudflare · ph · 2026-04-18 · 264 upvotes · similarity 0.45
- Agent Action Protocol (AAP) · hn · 2026-03-03 · 13 upvotes · similarity 0.45
- RUAGENTIC · ph · 2026-09-10 · 2 upvotes · similarity 0.45
- Usable Browser Agent · ph · 2026-09-08 · 2 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.