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Cornea, deterministic visual inspection

by AbduljabbarBXRversion 0.2.2i★ 1iRuns on your computer
Registry nameio.github.AbduljabbarBXR/cornea

How to install

What it does

Deterministic visual inspection for AI agents. Overlap, overflow, contrast, quality.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Other

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Claude cannot connect Cornea, deterministic visual inspection yet

The maker has not listed install details in the MCP Registry yet

ChatGPT cannot connect Cornea, deterministic visual inspection yet

The maker has not listed install details in the MCP Registry yet

What you can do instead

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Claude Code cannot connect Cornea, deterministic visual inspection yet

The maker has not listed install details in the MCP Registry yet

Cursor cannot connect Cornea, deterministic visual inspection yet

The maker has not listed install details in the MCP Registry yet

VS Code cannot connect Cornea, deterministic visual inspection yet

The maker has not listed install details in the MCP Registry yet

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Cornea, deterministic visual inspection💬 Discussion →

At a glance

Downloads per weeki
Not on npm/PyPI
Connection
Runs on your computer
Latest versioni
0.2.2
Categoryi
Other
Published to registryi
Sep 4, 2026
Code last changedi
Sep 23, 2026
Maker
AbduljabbarBXR
Packages
cargo: cornea
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

GooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 16, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account AbduljabbarBXR, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 2 months ago

  • ✓ Pass

    Has a licence

    Uses MIT

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Published vulnerabilities (OSV.dev)

Not checked: only npm and PyPI packages with a version can be checked

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

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User reviews

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Compared with others in Otheri

  • More stars than 86% of the other 19954 servers in this category
  • Published to the registry more recently than 28% of the other 19954 servers in this category
  • Basic checks equal to or better than 100% of the other 19954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cornea, deterministic visual inspection safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 2 months ago, and the latest version (0.2.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Rust on your computer.

What can I use instead?

In the same category: World Monitor, openstatus, Oh My Posh Validator, Strata, Jitsu

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Strata

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by Klavis-AIGrowing★ 5.8KUpdated 14 months ago

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Jitsu

Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.

by jitsucomWidely used★ 5.1KUpdated 4 months ago

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  • World Monitor — Runs in the cloud, nothing to install · No key needed
  • openstatus — Runs in the cloud, nothing to install · No key needed
  • Oh My Posh Validator — Runs in the cloud, nothing to install · No key needed
  • Strata — Runs in the cloud, nothing to install · No key needed
  • Jitsu — Runs in the cloud, nothing to install · No key needed

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Cornea

Deterministic visual inspection for AI agents. The eyes a coding agent never had.

Cornea gives a coding agent that builds web pages a real way to *see* them. As a token-cheap, deterministic structural model it can reason over exactly, instead of megabytes of screenshots and raw DOM dumped into context.

An agent doesn't need a *photo* of a page. It needs to know is my layout broken, and how. Cornea computes an abstract *visual geometry model* of every element (box, position, z-order, computed styles) and derives inspection conclusions. overlap, overflow, contrast, quality. Then exposes them as native tools on three surfaces: CLI, MCP, and HTTP API.

One promise holds everything together: same input → byte-identical output. No Chromium, no sub-pixel variance, no server. A single ~1.4 MB binary.


Quick start

# Build (Rust 1.98+, edition 2024)

cargo build --release

Inspect a file, the simplest way to use Cornea

./target/release/cornea tests/fixtures/sample-bugs.html 360

Requires only cargo. No browser, no Node, no system dependencies. Builds fine on a phone-class device.

Or install the `cornea` command from npm (no Rust toolchain needed):

npm install -g optrex   # provides the cornea command

cornea --help


Visual guide: what Cornea does

Take this page below. It looks fine as source. But it's hiding four layout bugs. Cornea finds every one.

<!-- tests/fixtures/sample-bugs.html (excerpt) -->

Card 1 Card 2 Card 3

Left overlap Right overlap ... Hard to read on white

Run it and Cornea reports the damage instantly:

$ ./target/release/cornea tests/fixtures/sample-bugs.html 360

{ "html_file": "tests/fixtures/sample-bugs.html", "viewport_w": 360.0, "element_count": 17, "est_tokens": 1068, // <-- entire page read for ~1k tokens "report": { "total_elements": 17, "visible_elements": 14, "overlaps": [ ... 7 collisions ... ], "overflows": [ ... 1 clipped ... ], "contrast": [ ... 2 AA failures ... ], "quality": { "score": 0.06, "label": "broken" } } }

Each finding is precise and actionable:

FindingDetail
Overlapsection.row ⇄ div.overlap-right, area 20000 px². The absolutely-positioned boxes cover the cards
Overflowdiv.overflow-bad: right edge 600 exceeds viewport 360 → clipped
Contrastblack on blue: ratio 2.44:1. Fails WCAG AA (needs 4.5)
Contrast#cccccc on white: ratio 1.61:1. Fails WCAG AA

That is the value: hundreds of tokens, not hundreds of kilobytes, and a deterministic answer the agent can act on and re-verify.


Visual guide: the three surfaces

Cornea is one engine, three doors. All three returns identical inspection JSON because they funnel through a single shared dispatch.

1. CLI. Inspect a file
cornea <file.html | http(s)://url> [viewport_width] [viewport_height] [--js]
$ cornea page.html 360

{ "html_file": "page.html", "viewport_w": 360.0, "element_count": 42, "json_bytes": 8124, "est_tokens": 2193, "report": { "total_elements": 42, "visible_elements": 38, "overlaps": [], "overflows": [], "contrast": [], "quality": { "score": 1.0, "label": "good" } } }

2. MCP. Native agent tools over stdio
cornea --serve

An agent calls layout.* tools directly; it passes the page source, or a live URL (see URL capture below), per call:

→ {"method":"tools/call","params":{"name":"layout.overlaps",

"arguments":{"html":" A ..." ,"width":360}}} ← {"id":1,"result":{"content":[{"text":"[{\"a_sel\":\"...div \u21c4 ...div\",\"area\":20000}]"}]}}

ToolReturns
layout.inspectFull visual model + report
layout.overlapsElements whose boxes collide
layout.overflowClipped / collapsed / off-screen
layout.contrastWCAG AA ratios for text elements
layout.quality0..1 health score + issue list
layout.fidelityWhich CSS features are exact vs approximated
3. HTTP API. Call from anything
cornea --serve-http [addr]        # default 127.0.0.1:8080
curl -s -X POST http://127.0.0.1:8080/inspect \

-H 'Content-Type: application/json' \ -d '{"html":" bady ","width":360}'

{"total_elements":1,"contrast":[{"selector":"...>p","fg":"#cccccc","bg":"#ffffff",

"ratio":1.61,"pass_aa":false}]}

RouteMethodReturns
/inspectPOSTFull report
/overlapsPOSTCollisions
/overflowPOSTClipped / collapsed / off-screen
/contrastPOSTWCAG ratios
/qualityPOSTHealth score
/fidelityGETEngine capabilities
/healthGETLiveness

Watching a live page (URL capture)

Every surface accepts a URL where the HTML would go. Cornea fetches the page, inlines its external stylesheets and external scripts (relative URLs resolved against the page), then inspects what a browser would actually show. That is the live coding session loop: run your dev server, point cornea at it, read the layout verdict.

cornea http://localhost:3000 390
{ "url": "http://localhost:3000", "width": 390, "height": 844 }  // HTTP /inspect
{ "method": "tools/call", "params": { "name": "layout.quality",

"arguments": { "url": "http://localhost:3000", "width": 390 } } } // MCP

Honesty around capture:

  • Failed fetches leave the original tag in place and record a note, so the report warnings still flag what did not load.
  • A positive height emulates a fixed viewport (screenshot frame, iframe, email) and enables below the fold clipping checks. Default 0 means an unbounded scrolling page.
  • Capture is a snapshot in time. Determinism holds engine side: the same fetched bytes always produce the same report.
  • Plain HTTP is supported natively. HTTPS pages need a TLS stack, which the binary does not carry; capture from a local http dev server or pre inline the page with a fetch layer of your own.

Architecture

                    ┌─────────────────────────────────────┐

HTML + CSS ──► │ cornea (one binary) │ │ │ │ dom.rs html5ever ──► tree │ │ css.rs + inline │ │ │ │ layout.rs deterministic layout │ │ (block/inline/flex, │ │ box model, z-index) │ │ │ │ │ model.rs Visual Geometry Model │ │ │ │ │ inspect.rs overlap / overflow / │ │ contrast / quality │ │ │ │ │ rest.rs canonical dispatch │ └───────┬─────────────┬───────────────┘ │ │ ┌─────┴────┐ ┌────┴───────────────┐ │ CLI │ │ MCP (stdio) / HTTP│ │ cornea │ │ layout.* / REST │ └──────────┘ └────────────────────┘

Read the full technical spec: CORNEA-ARCHITECTURE.md


Fidelity. Honest about what's approximate

Cornea never silently fakes precision. layout.fidelity tells an agent exactly what it can trust, and every report carries its own warnings for sources the engine saw but did not apply (external stylesheets, external scripts, media queries, unresolved colors):

{

"exact": ["box model", "block flow", "inline text estimates", "flex row/column (no wrap)", "z-index", "visibility", "absolute/fixed left/top", "inline styles", "class/id/tag selectors", "WCAG contrast (hex, rgb, hsl, alpha)"], "approximate": ["text glyph width (not shaping)", "flex-grow/flex-basis distribution", "percentage widths", "overlap semantics ignore intentional stacking"], "deferred": ["grid (parsed as block flow)", "media queries", "border-radius", "external stylesheet when not captured", "complex selectors (combinators, pseudo)"], "js": { "engine": "boa", "phase": "A", "enabled": "opt-in via --js / js:true", "dom_shim": "static HTML mirrored in first; getElementById; innerHTML parses markup", "unsupported": ["async APIs", "event dispatch", "selector engine", "React/SPA mounting (Phase B)"] } }

JavaScript built-in pages (Phase A)

Cornea can execute inline ` ` that builds its DOM via a minimal shim, then run the result through the same deterministic layout engine:

cornea page.html 360 --js            # inline scripts build the DOM first
{ "html": "<p>…</p>", "width": 360, "js": true }   // HTTP /inspect and MCP layout.*
  • Static HTML is mirrored into the shim before scripts run, so scripts can attach to existing nodes via document.getElementById, and innerHTML parses real markup into elements. Static content survives script runs.
  • style.* assignments are serialized back to style="…" and participate in overlap/contrast checks.
  • Async APIs are rejected (setTimeout, fetch, …) rather than hung. Any such use is surfaced in the report's js_notes, so determinism stays a guarantee.
  • External runs only when a capture layer (URL capture) inlined its body first.
  • Full React/SPA mounting is Phase B (experimental). Tracked in ROADMAP-JS.md.

Visual guide: testing (battle-tested)

54 tests run clean with cargo test; CI enforces fmt, clippy `-D warnings`, release build, tests, and a CLI smoke test on every push.

$ cargo test

Running unittests src/lib.rs ... 36 passed // determinism, overlap, overflow, Running unittests src/main.rs ... 9 passed // contrast, inline flow, flex, Running tests/endpoints.rs ... 9 passed // nesting, empty input, MCP, CLI, JS, capture

  • Determinism. Same page inspected twice gives byte-identical JSON (the core thesis).
  • Bug detection. The fixture's overlaps, overflows, and contrast failures are all asserted.
  • End-to-end. The compiled binary is spawned and layout.* is called over real stdio MCP.
  • HTTP. The TCP server boots on an ephemeral port and real requests are made.
  • Live capture. A real page is served over a local socket; linked CSS must change a contrast verdict.
  • Edge cases. Empty HTML, deep nesting (no crash), display:none, long text, flex row/col, inline wrapping.

Layout support (v1 scope)

FeatureStatus
Block flow, box model (content/border-box)exact
Inline text runs (horizontal, wrapping)exact
Flex row / column (simplified, no wrap)approximate
Absolute / fixed positioning (left/top)exact
z-index, visibility, display:noneexact
.class / #id / tag selectors + inline stylesexact

| WCAG contrast (hex, rgb, hsl, al

Only the beginning is shown; read the rest in the repo