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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.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.