Agent Readiness

Name: Agent Readiness
Author: alipajand

by alipajandversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.alipajand/agent-readiness

Install

Overview

Description from the maker (original English)

Deterministic, read-only audits of repo readiness for AI coding agents and of agent context files.

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: Developer tools

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": {
    "agent-readiness": {
      "command": "npx",
      "args": [
        "-y",
        "@alipajand/agent-readiness-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-readiness -- npx -y @alipajand/agent-readiness-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "agent-readiness": {
      "command": "npx",
      "args": [
        "-y",
        "@alipajand/agent-readiness-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": {
    "agent-readiness": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@alipajand/agent-readiness-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.

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account alipajand, 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 Developer toolsi

More stars than 0% of the other 4910 servers in this category
Published to the registry more recently than 61% of the other 4910 servers in this category
Basic checks equal to or better than 100% of the other 4910 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 Agent Readiness 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 26 days 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: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago

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Desktop Commander

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MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago

Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago

Install

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.

@alipajand/agent-readiness-mcp

A local Model Context Protocol server that audits repositories for AI coding agents with two deterministic engines:

agent-readiness-kit: a 0–100 readiness score across 13 categories (instructions, architecture, workflow, testing, safety, and more) for Node.js, Python, Go, and Rust projects.
agent-context-doctor: quality and safety issues in AGENTS.md, CLAUDE.md, Cursor and Copilot rules, and agent MCP/settings files. Credentials quoted in any finding are redacted.

The audit is read-only and offline. It uses no LLM and no API key, sends no telemetry, and never runs the audited repository's scripts. Both engines are compiled into the package from pinned commits, so it has no runtime dependencies.

Tools

Tool	Returns
`audit_repository`	Readiness score, categories, checks that did not pass (fail before warn), recommendations
`audit_agent_context`	Context score and grade, files checked, issues ordered high → low
`get_audit_report`	Further pages of a report from this session, optionally with the engine's complete JSON

audit_repository and audit_agent_context take an optional path (default: the first root). All three tools are annotated read-only.

Install

Requires Node.js 22.13 or later (23.5 or later on Node.js 23). Older releases have no stable permission model for the audit sandbox described below, and the server refuses to start on them.

npm install -g @alipajand/agent-readiness-mcp@0.1.2

Configure a client

The server only audits directories inside its roots. Give one --root per directory the client may audit; with none, it uses the directory it was started in.

Claude Code:

claude mcp add agent-readiness -- agent-readiness-mcp --root /path/to/projects

Cursor (.cursor/mcp.json) and other clients that use the mcpServers format:

"mcpServers": { "agent-readiness": { "command": "agent-readiness-mcp", "args": ["--root", "/path/to/projects"] } } }

Without a global install, use "command": "npx" with "args": ["-y", "@alipajand/agent-readiness-mcp@0.1.2", "--root", "/path/to/projects"]. Keep the version pinned.

Options: --root (repeatable), --timeout (default 120), --max-concurrency (default 2).

Security

Paths are resolved through symlinks and must stay inside a root.
Each audit runs in a separate Node.js process started without a shell, with an empty environment, a time limit, and an output limit. That process runs under Node's permission model: it can read only the audited directory and its own script, and cannot write files or start processes. Node lets a granted read follow a symlink, so the engines' own symlink checks still contain reads; the sandbox is a second layer.
Stdout carries only MCP messages; diagnostics go to stderr.
Reports are kept in memory for the session (the 20 most recent) and never written to disk.
Text in results comes from the audited repository and should be treated as data.
The server is offline, but the MCP host is not part of it: the host's model reads the results and the host may send them, or files it reads itself, to its model provider. Credential masking covers the server's results only.

Listings

Listed on MCPRush.

License

MIT. Bundled third-party licenses are in dist/THIRD-PARTY-LICENSES.txt and dist/audit-worker.THIRD-PARTY-LICENSES.txt.

Agent Readiness

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 Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

@alipajand/agent-readiness-mcp

Tools

Install

Configure a client

Security

Listings

License