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PopNx MCPMCP servers for people who use AI · explained in plain words

VisualSpec

by utkarshx27version 0.1.0i★ 0iRuns on your computer
Registry nameio.github.utkarshx27/visualspec

How to install

What it does

Structured, constraint-aware visual generation and deterministic layout for AI agents

  • 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 · ✓ Commands checked Nov 14, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "visualspec": {
          "command": "npx",
          "args": [
            "-y",
            "@utkarshx27/visualspec"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use VisualSpec and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using VisualSpec or shows a VisualSpec tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OPENAI_API_KEY Optional API key for OpenAI image generation
  • GEMINI_API_KEY Optional API key for Google Gemini image generation

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect VisualSpec yet

VisualSpec runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect VisualSpec

  • Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)

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

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user visualspec -- npx -y @utkarshx27/visualspec
  4. Type /mcp in Claude Code

    You should see VisualSpec listed as connected

  5. Try it

    Use VisualSpec and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using VisualSpec or shows a VisualSpec tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OPENAI_API_KEY Optional API key for OpenAI image generation
  • GEMINI_API_KEY Optional API key for Google Gemini image generation

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use VisualSpec and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using VisualSpec or shows a VisualSpec tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OPENAI_API_KEY Optional API key for OpenAI image generation
  • GEMINI_API_KEY Optional API key for Google Gemini image generation

Descriptions are as written by the maker.

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use VisualSpec and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using VisualSpec or shows a VisualSpec tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OPENAI_API_KEY Optional API key for OpenAI image generation
  • GEMINI_API_KEY Optional API key for Google Gemini image generation

Descriptions are as written by the maker.

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

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 VisualSpec💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user visualspec -- npx -y @utkarshx27/visualspec

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "visualspec": {
      "command": "npx",
      "args": [
        "-y",
        "@utkarshx27/visualspec"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "visualspec": {
      "command": "npx",
      "args": [
        "-y",
        "@utkarshx27/visualspec"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "visualspec": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@utkarshx27/visualspec"
      ]
    }
  }
}

Values you fill in

  • OPENAI_API_KEY secret env
    Optional API key for OpenAI image generation
  • GEMINI_API_KEY secret env
    Optional API key for Google Gemini image generation

Descriptions are as written by the maker.

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

At a glance

Downloads per weeki
37/wk
Licencei
Apache-2.0
Connection
Runs on your computer
Latest versioni
0.1.0
Categoryi
Other
Published to registryi
Sep 10, 2026
Code last changedi
Sep 10, 2026
Maker
utkarshx27
Packages
npm: @utkarshx27/visualspec
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

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex 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 14, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account utkarshx27, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 2 months ago

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – 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

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 0% of the other 19728 servers in this category
  • Published to the registry more recently than 37% of the other 19728 servers in this category
  • Basic checks equal to or better than 100% of the other 19728 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 VisualSpec 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 (0.1.0) 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: World Monitor, Claude Flow, Windmill

Others in the same category

Servers in the same category from other makers, sorted by stars.

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

by koala73Widely used★ 90.6KUpdated yesterday

Runs in the cloud✓ service owner · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.6KUpdated 14 months ago

Runs on your computer

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

by windmill-labsWidely used★ 18.6KUpdated 2 days ago

Runs in the cloud

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.

VisualSpec

Deterministic visual generation for AI agents.

AI creates the imagery. VisualSpec guarantees the typography and layout.

# Instant workspace setup (no clone required)

npx @utkarshx27/visualspec init

Launch local MCP Server for Cursor, Claude Desktop, or Antigravity

npx @utkarshx27/visualspec mcp


The Core Problem

Most image-generation workflows fail for social and marketing graphics because a single natural-language prompt is expected to handle too many concerns at once:

  • subject & background
  • exact typography & wording
  • platform dimensions & safe margins
  • visual hierarchy & negative space
  • brand color rules & constraints

Image models frequently hallucinate gibberish text, truncate words, or disregard composition rules.

The Solution: Layer Separation

VisualSpec separates generative concerns from deterministic concerns:

  1. Generative Layers (AI Models): Photography, 3D subjects, atmospheric backgrounds, textures, lighting.
  2. Deterministic Layers (Code & SVG Engine): Exact headlines, subtitles, badges, logos, metrics, safe margins, and layout rules.
  3. Structured Visual Spec: A machine-readable YAML specification that acts as the single contract.
  4. Visual QA & Targeted Repair: Verifies geometry, margins, and exact copy invariants, synthesizing localized repairs without regenerating entire scenes.
User Brief / Intent

│ ▼ Visual Spec (spec.yaml) │ ┌───┴──────────────┐ ▼ ▼ Platform Pack Template Pack │ │ └───┬──────────────┘ ▼ Spec Resolver │ ┌───┴───────────────────────┐ ▼ ▼ Model Adapter Deterministic Layout (Generative Base) (SVG Typography / Overlay) │ │ └───┬───────────────────────┘ ▼ Compositor (Sharp) │ ▼ Visual QA (Constraints, Safe Margins, Exact Copy) │ ├── PASS ──► Final Asset Bundle │ └── FAIL ──► Targeted Repair Planner


Documentation


Quickstart

Instant Run (No Install Required)
# Initialize a new VisualSpec workspace

npx @utkarshx27/visualspec init

Launch local MCP Server for Cursor, Claude, or Antigravity IDE

npx @utkarshx27/visualspec mcp

Or Install Globally
npm install -g @utkarshx27/visualspec

Use CLI commands directly

visual init visual mcp

Or Build from Source
git clone https://github.com/utkarshx27/visualspec.git

cd visualspec npm install npm run build

1. Initialize a Project
npx @utkarshx27/visualspec init
2. Validate a Visual Spec
npx @utkarshx27/visualspec validate examples/product-launch/spec.yaml
3. Inspect the Compiled Generation Prompt
npx @utkarshx27/visualspec compile examples/product-launch/spec.yaml --provider openai
4. Deterministic Render (No API Key Required)

Render layout, typography, and background styling locally:

npx @utkarshx27/visualspec render examples/product-launch/spec.yaml --output ./output/demo-launch
5. Run the Full Generation Pipeline
npx @utkarshx27/visualspec generate examples/product-launch/spec.yaml --provider mock --output ./output/demo-launch
6. Verify Asset Quality with Visual QA
npx @utkarshx27/visualspec check ./output/demo-launch/final.png --spec examples/product-launch/spec.yaml

Model Context Protocol (MCP) Server

VisualSpec runs as a native MCP server over stdio, enabling AI coding assistants (Cursor, Claude Code, Gemini CLI, and Antigravity IDE) to invoke visual tools directly:

# Launch MCP server over stdio

npx @utkarshx27/visualspec mcp

Or if installed globally

visual mcp

Available MCP Tools
  • visual_brief_to_spec: Convert natural language requests into valid VisualSpec YAML.
  • visual_validate_spec: Schema validation for specs.
  • visual_render: Deterministic layout & typography rendering (zero API key).
  • visual_generate: Full image model adapter + deterministic text overlay pipeline.
  • visual_check_qa: Inspect safe margins, line counts, dimensions, and invariants.
  • visual_repair: Automated diagnosis and localized typography/layout repair.
  • visual_list_resources: List supported platform packs and templates.

See the MCP Setup Guide for Cursor, Claude Desktop, and Antigravity IDE configuration snippets.


Output Bundle

Every generation creates a complete, reproducible debug bundle:

output/demo-launch/

├── final.png # Platform-ready asset ├── visual-spec.yaml # Original input specification ├── resolved-spec.yaml # Full spec with platform & template rules applied ├── generation-request.json # Exact prompt and negative parameters sent to model ├── qa-report.json # Deterministic and constraint QA verification results └── metadata.json # Execution timestamps and file index


Supported Platforms & Templates

Platforms
  • Instagram: Feed portrait (1080x1350, 4:5), Square (1080x1080, 1:1), Story (1080x1920, 9:16).
  • LinkedIn: Feed portrait (1080x1350), Square (1080x1080), Banner (1200x628).
  • Generic Social: Universal 1:1, 4:5, and 16:9 social formats.
Templates
  • Product Launch: High-impact headline, feature pill, product visual region, supporting subhead.
  • Quote Card: Center-focused editorial quote, author attribution, minimal atmospheric glow.
  • Stat Card: Large numeric hero metric, descriptive label, and data context notes.

Agent Skills

The framework includes 10 standardized skill definitions located in ./skills/:

  • using-visualspec: Master workflow instructions.
  • visual-brief: Brief extraction and analysis.
  • visual-spec: YAML authoring and schema rules.
  • composition: Spatial hierarchy and negative space allocation.
  • typography: Font family classing and line budgeting.
  • strict-constraints: Invariant taxonomy and forbidden parameters.
  • social-instagram: Instagram-specific design reasoning.
  • social-linkedin: LinkedIn-specific design reasoning.
  • visual-qa: Automated inspection and validation.
  • visual-repair: Localized diagnosis and patch generation.

Roadmap & Open Contributions

We welcome contributions! Key areas to build together:

  • Additional Platforms: X/Twitter (Header, Post), YouTube Thumbnails, Pinterest, TikTok Cover.
  • Additional Templates: Testimonial, Product Comparison, Event Announcement, Feature List.
  • Additional Image Model Adapters: Flux, Stable Diffusion / ComfyUI, Midjourney API.
  • Brand Packs: Multi-brand palette overrides, custom font loading, logo clear space rules.
  • Visual Studio: Local web playground / viewer for real-time spec inspection and margin toggling.

Contributing

Contributions are welcome! Please check our:


Testing

Run the automated test suite:

npm test

All 28 tests run offline without requiring any third-party API keys.


License

Licensed under the Apache License, Version 2.0.