Visual Intent Layer

Name: Visual Intent Layer
Author: willa-code

by willa-codeversion 0.4.0i★ –iRuns on your computer

Registry nameio.github.willa-code/visual-intent-layer

Install

Overview

Description from the maker (original English)

Point at visible targets in an agent-built interface, and deliver grounded Annotations.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "visual-intent-layer": {
      "command": "npx",
      "args": [
        "-y",
        "visual-intent-layer"
      ]
    }
  }
}

Run this in your terminal

claude mcp add visual-intent-layer -- npx -y visual-intent-layer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "visual-intent-layer": {
      "command": "npx",
      "args": [
        "-y",
        "visual-intent-layer"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "visual-intent-layer": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "visual-intent-layer"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account willa-code, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– 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

Compared with others in Otheri

More stars than 0% of the other 32655 servers in this category
Published to the registry more recently than 45% of the other 32655 servers in this category
Basic checks equal to or better than 100% of the other 32655 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 Visual Intent Layer safe?

It passed 1 of 1 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 –, and the latest version (0.4.0) 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 Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SuperCollider

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago

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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

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SuperCollider

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Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

Runs on your computerUpdated today

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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.

Visual Intent Layer

Point at a browser-rendered interface, describe what should change, and let an agent work from that precise visual context. Visual Intent Layer is a local MCP server and Review Surface for saved HTML documents and local web apps.

About

hello world! this project is a testbed for me to experience new/random/trending stuff! fyi on what i was testing:

pstack's verification skills
matt's skills
ds v4.1 flash via openrouter in pi
...

Key features

Direct pointing. Point, drag, or box visible targets instead of describing their location in prose.
Annotations with context. Group targets into one Annotation and attach reference images when useful.
Delivery state you can read. Keep unsent and delivered Annotations together with their revision and resolution state.
Human judgement. Review the result in a browser and decide each Annotation by hand.
Local by default. Keep review data on the local machine.

Mobile builds, native windows, design files, and PDFs are outside the supported surface.

Requirements

Node.js 20 or newer
A browser on the machine running the server
An MCP-capable agent, if you want an agent to use the Review Surface

No hosted account or Rust toolchain is required.

Quickstart

"mcpServers": { "visual-intent-layer": { "command": "npx", "args": ["-y", "--package", "visual-intent-layer@latest", "visual-intent-mcp"] } } }

The server must run on the machine where you look at the screen. It launches a browser there and binds a loopback port. A server in a container, on a remote host, or inside a cloud agent cannot display that machine's Review Surface.

Registry-aware clients can also find the server as io.github.willa-code/visual-intent-layer in the official MCP Registry, which lists where to get it rather than hosting it.

Claude Code

claude mcp add visual-intent-layer -- npx -y --package visual-intent-layer@latest visual-intent-mcp

Codex

codex mcp add visual-intent-layer -- npx -y --package visual-intent-layer@latest visual-intent-mcp

opencode

Run opencode mcp add visual-intent-layer, then provide npx and the package arguments when prompted:

-y --package visual-intent-layer@latest visual-intent-mcp

pi does not ship an MCP client. With pi-mcp-adapter installed, add this to the project's .mcp.json (merge it into an existing mcpServers object):

"mcpServers": { "visual-intent-layer": { "command": "npx", "args": ["-y", "--package", "visual-intent-layer@latest", "visual-intent-mcp"] } } }

The same entry can be placed in .pi/mcp.json for a project-only Pi override, or ~/.config/mcp/mcp.json for all projects. The adapter's /mcp setup panel can also create the entry.

Other MCP clients

Use the JSON configuration above, or launch a local stdio server with command npx and arguments -y --package visual-intent-layer@latest visual-intent-mcp.

Start a review without an agent

The package also provides a local CLI:

npx -y --package visual-intent-layer@latest visual-intent open --html ./checkout.html

npx -y --package visual-intent-layer@latest visual-intent open --app http://localhost:5173

Each command opens the default browser and prints the review URL. Add --no-open for headless or scripted use. To run only the local service:

npx -y --package visual-intent-layer@latest visual-intent serve --port 3742

The visual-intent command is also available after npm install -g visual-intent-layer.

Data and privacy

The server writes review data to ~/.visual-intent-layer/data by default. It does not write agent configuration. Uninstalling the package does not delete reviews; remove that data directory only when you want to remove them.

Set VISUAL_INTENT_DATA_DIR to choose another data directory. Set VISUAL_INTENT_NO_OPEN=1 to suppress automatic browser opening.

Update and uninstall

@latest is resolved when npx fetches the package, so there is usually nothing to update by hand. pi-mcp-adapter caches the resolved command for 24 hours; delete ~/.pi/agent/mcp-npx-cache.json to force a fresh fetch. Replace @latest with an exact version in the entry to hold a version still, and update a global install with npm install -g visual-intent-layer@latest.

To uninstall, remove the entry with the mechanism you added it with — claude mcp remove visual-intent-layer, codex mcp remove visual-intent-layer, or by editing your client's configuration. docs/guide.md names the file for each client. Uninstalling deletes none of your reviews: they stay in the data directory until you remove it.

Documentation

docs/guide.md — product manual, Review Surface, Annotation model, MCP tools, data, schema, development, and layout.
design.md — normative Review Surface design contract.
docs/design-references.md — component references and verification notes.
docs/reference-foundations.md — comparison of candidate reference foundations.
SECURITY.md — threat model, supported versions, and disclosure process.
docs/adr/ — architectural decisions.
docs/pi-validation.md — live Pi validation checklist.

License

Apache-2.0.

Visual Intent Layer

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

SuperCollider

README from the maker

Visual Intent Layer

About

Key features

Requirements

Quickstart

Start a review without an agent

Data and privacy

Update and uninstall

Documentation

License