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Ranuk Web Accessibility & AST Security Auditor

by RanuK12version 1.0.0i★ –iRuns in the cloud
Registry nameio.github.RanuK12/ada-audits

Install

Overview

Description from the maker (original English)

Edge MCP Server for live WCAG 2.1 AA accessibility compliance and AST security audits.

PopNx MCP’s three pillars

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

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.

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://audit.ranuk.dev/mcp

Run this in your terminal

claude mcp add --transport http ada-audits https://audit.ranuk.dev/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ada-audits": {
      "url": "https://audit.ranuk.dev/mcp"
    }
  }
}

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": {
    "ada-audits": {
      "type": "http",
      "url": "https://audit.ranuk.dev/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://audit.ranuk.dev/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 RanuK12, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32686 servers in this category
  • Published to the registry more recently than 73% of the other 32686 servers in this category
  • Basic checks equal to or better than 100% of the other 32686 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 Ranuk Web Accessibility & AST Security Auditor 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 13 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP

Alternatives

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Runs on your computer★ 440MITUpdated 14 months ago
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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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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.

ADA-Audits

Automated Data Accessibility Audits for Python projects.

📌 Features

  • Scans Python files and notebooks for data accessibility issues
  • Detects missing docstrings, type hints, and accessibility standards
  • Generates reports with actionable insights
  • Integrates with CI/CD pipelines

🚀 Quick Start

Follow these steps to get started with ADA-Audits:

Step 1: Installation

Using pip:

# Clone the repository

git clone https://github.com/your-org/ada-audits.git cd ada-audits

Install in development mode

pip install -e .

Using Poetry:

# Clone the repository

git clone https://github.com/your-org/ada-audits.git cd ada-audits

Install dependencies with Poetry

poetry install

Activate the virtual environment

poetry shell

Step 2: Create Configuration File

Create a .ada-audit.yml file in your project root:

# .ada-audit.yml - Minimal working configuration

targets:

  • src/
  • notebooks/

rules:

  • missing-docstring
  • missing-type-hint
  • accessibility-issue

output: format: markdown file: audit-report.md

Step 3: Run Your First Audit

Scan a single file:

ada-scan path/to/file.py

Expected output:

✓ Scanning: path/to/file.py

Found 3 issues: [WARNING] line 15: Missing docstring for function 'process_data' [WARNING] line 23: Missing type hint for parameter 'input_path' [ERROR] line 45: Accessibility issue - missing alt text for image

Scan an entire directory:

ada-scan src/

Expected output:

✓ Scanning directory: src/

Found 12 files to analyze src/init.py .............. OK src/main.py .................. 2 issues src/utils.py ................. 5 issues src/processors/base.py ....... 1 issue src/processors/transform.py .. 4 issues

Summary: 12 issues found across 4 files

Generate a full report:

ada-audit --output report.md

Expected output:

✓ ADA Audit Report Generated

Output: report.md Total files scanned: 12 Issues found: 15 Compliance score: 78%

📖 Usage

Command Line Interface
CommandDescription
ada-scan Scan a file or directory for accessibility issues
ada-auditGenerate a full audit report based on configuration
ada-audit --output Generate report with custom output filename
ada-audit --format Output format: markdown, json, or html
Configuration Reference

Full configuration options for .ada-audit.yml:

# Paths to scan

targets:

  • src/ # Python source files
  • notebooks/ # Jupyter notebooks
  • tests/ # Test files

Rules to apply

rules:

  • missing-docstring # Functions/classes without docstrings
  • missing-type-hint # Parameters without type annotations
  • accessibility-issue # Accessibility standard violations

Output settings

output: format: markdown # Options: markdown, json, html file: audit-report.md # Output filename

Optional: Exclude patterns

exclude:

  • "/__pycache__/"
  • "/migrations/"

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/your-feature)
  3. Commit your changes (git commit -m 'feat: add new rule [ranukita:xxxxx]')
  4. Push to the branch (git push origin feature/your-feature)
  5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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