Readyorai

Name: Readyorai
Author: TedoNeObichaJavaScript

by TedoNeObichaJavaScriptversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.TedoNeObichaJavaScript/readyorai

Install

Overview

Description from the maker (original English)

Zero-cost MCP server for local code inspection and best-practice recommendations

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": {
    "readyorai": {
      "command": "npx",
      "args": [
        "-y",
        "readyorai"
      ]
    }
  }
}

Run this in your terminal

claude mcp add readyorai -- npx -y readyorai

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "readyorai": {
      "command": "npx",
      "args": [
        "-y",
        "readyorai"
      ]
    }
  }
}

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": {
    "readyorai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "readyorai"
      ]
    }
  }
}

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account TedoNeObichaJavaScript, 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 32497 servers in this category
Published to the registry more recently than 6% of the other 32497 servers in this category
Basic checks equal to or better than 100% of the other 32497 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 Readyorai 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 (0.1.2) reached the registry 7 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, Zoo MCP

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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.

ReadyOrAI

Zero-cost MCP server for local code inspection. Analyzes your code for clean code practices, best practices, and gives actionable recommendations — without modifying your code or making API calls.

Features

9 analyzers: complexity, naming, structure, patterns, imports, documentation, security, duplication, AI-generated code detection
Multi-language: JS/TS, Python, Go, Rust (deep analysis) + Java, C#, Ruby, PHP, and more (regex-based)
Zero-cost: All analysis runs locally — no API keys, no external calls
MCP server: Works with Claude Desktop, Claude Code, and VS Code via stdio transport
CLI tool: ready @filename and AI terminal commands for standalone use
SARIF output: Export results for GitHub Code Scanning integration
Watch mode: Continuous re-analysis on file changes
Baseline/diff mode: Track incremental adoption — only see new issues
Config file: Project-level .readyorai.json for shared settings
Inline suppressions: Silence specific findings with // readyorai-ignore comments

Installation

As an MCP Server

Claude Desktop (claude_desktop_config.json):

"mcpServers": { "readyorai": { "command": "npx", "args": ["-y", "readyorai"] } } }

Claude Code:

claude mcp add readyorai -- npx -y readyorai

VS Code (.vscode/mcp.json):

"servers": { "readyorai": { "command": "npx", "args": ["-y", "readyorai"] } } }

As a CLI Tool

npm install -g readyorai

CLI Usage

ready @src/index.ts                          # Inspect a single file

ready @src/ # Inspect a directory ready @src/index.ts --checks security,naming # Run specific checks ready @src/index.ts --json # JSON output ready @src/index.ts --sarif # SARIF output (GitHub Code Scanning) ready @src/index.ts --severity warning # Only warnings and errors ready @src/index.ts --watch # Re-analyze on file changes ready @src/ --baseline baseline.json # Compare against saved baseline ready @src/ --save-baseline baseline.json # Save current results as baseline AI # Inspect current directory AI @src/utils.ts # Alias with file target

Exit Codes

Code	Meaning
`0`	No issues found
`1`	Warnings found
`2`	Errors found
`3`	Runtime error

Configuration

Create a .readyorai.json in your project root:

"checks": ["complexity", "naming", "security"], "severity": "warning", "exclude": ["dist/", "node_modules/"] }

Inline Suppressions

Silence specific findings on a line:

eval(code); // readyorai-ignore

MCP Tools

Tool	Description
`inspect_file`	Analyze a single file for code quality issues
`inspect_directory`	Batch analysis of all source files in a directory
`get_metrics`	Get quantitative metrics (LOC, complexity, function count)
`compare_files`	Compare two file versions and show fixed, introduced, or unchanged findings
`suggest_fixes`	Get actionable fix suggestions with context for each finding

MCP Prompts

Prompt	Description
`review-code`	Structured code review with optional focus area
`health-check`	Project-level health assessment

Checks

Check	What it detects
`complexity`	Cyclomatic/cognitive complexity, deep nesting
`naming`	Convention violations, single-letter vars, boolean prefixes
`structure`	Long files/functions, too many parameters, long lines
`patterns`	console.log, empty catch, magic numbers, nested ternaries, TODOs
`imports`	Unused imports, wildcard imports, scattered imports
`documentation`	Missing JSDoc/docstrings, low comment ratio
`security`	Hardcoded secrets, eval(), SQL injection, XSS patterns
`duplication`	Duplicate code blocks, repeated magic strings
`ai-detection`	Detects patterns common in AI-generated code

Language Support

Tier	Languages	Analysis
1	JavaScript, TypeScript, Python, Go, Rust	Full AST-powered analysis
2	Java, C#, Ruby, PHP, Swift, Kotlin, C, C++	Regex + heuristic analysis
3	Any text file	Line-based checks (length, TODOs, secrets, duplication)

Development

git clone https://github.com/TedoNeObichaJavaScript/ReadyOrAI.git

cd ReadyOrAI npm install npm run build npm test

Support

If you find ReadyOrAI useful, consider supporting the project:

Borko — 5 euro

License

MIT

Readyorai

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

Zoo MCP

README from the maker

ReadyOrAI

Features

Installation

As an MCP Server

As a CLI Tool

CLI Usage

Exit Codes

Configuration

Inline Suppressions

MCP Tools

MCP Prompts

Checks

Language Support

Development

Support

License