E2LLM vs MCP: Why Burn Tokens You Don’t Have To?
MCP (Model Context Protocol) promises to give AI the full picture: dump the DOM, stream it into a model, let the AI reason.
Sounds powerful — until you realize what it costs.
Every request means pushing a huge pile of tokens for data you mostly don’t need.
That’s not “context.” That’s waste.
The Problem With MCP
- Full-page dumps: DOM, JS, CSS, irrelevant siblings, analytics noise.
- Massive token cost: every request bloated, even when you only care about one element.
- Slows adoption: teams ration usage instead of actually using AI in the workflow.
MCP has its place for browser automation and multi-step flows. But if your goal is runtime context, it’s overkill every single time.
The E2LLM Way
E2LLM is a lightweight browser add-on. One click, and you get a structured JSON snapshot of exactly what matters:
- Attributes, text, ARIA roles
- Visibility and validation flags
- Computed styles and hierarchy
- Real runtime state — not static assumptions
That’s it. AI sees what you see. No waste, no bloat.
Why It Matters
- Token-efficient: JSON only. No useless ballast.
- Multi-audience: works for QA, Design, and Dev.
- Privacy-first: everything stays in your browser.
- Actually usable: one-click install, no setup hell.
Instead of rationing queries, you actually use AI in the flow of daily work.
Before vs After
- Before: “The modal seems broken.” → vague bug report, AI guesses.
After: JSON snapshot → AI pinpoints visibility flag, hidden element, or cascade clash.
Before: Designer says “spacing feels off.” → subjective.
After: JSON snapshot → AI compares computed styles vs. design spec.
Before: Copy HTML → AI suggests fixes for problems that don’t exist.
After: Copy runtime JSON → AI sees the actual runtime truth.
TL;DR
- MCP = bloated dumps, heavy token burn.
- E2LLM = focused JSON snapshots, zero waste.
- Built for QA, Design, and Dev — not just one silo.
- Free to install, frictionless to use.
Not because MCP has no value — but because in daily workflows, nobody wants to pay for mountains of wasted tokens when a simple JSON snapshot does the job better.
👉 Stop guessing. Start producing. Install E2LLM
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