Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

DevReady

by Evalogical-Incversion 1.3.0i★ –iRuns on your computer
Registry nameio.github.Evalogical-Inc/devready

Install

Overview

Description from the maker (original English)

Read-only check that a machine meets a project's declared tool and runtime versions.

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.

  • 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

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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": {
    "devready": {
      "command": "uvx",
      "args": [
        "devready-cli",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add devready -- uvx devready-cli mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "devready": {
      "command": "uvx",
      "args": [
        "devready-cli",
        "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": {
    "devready": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "devready-cli",
        "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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Evalogical-Inc, 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 32371 servers in this category
  • Published to the registry more recently than 94% of the other 32371 servers in this category
  • Basic checks equal to or better than 100% of the other 32371 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 DevReady 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 (1.3.0) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

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

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
Install

Opencu

by Daily-AC

Independent local computer-use engine and MCP server for macOS, Windows, Linux and Android

Runs on your computerUpdated today
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.

🩺 DevReady

"Works on my machine" - finally answered before it wastes your afternoon.

A zero-dependency, read-only CLI that checks whether your machine actually meets a project's declared requirements, and tells you exactly what to fix. Built for humans, CI, and AI coding agents (Claude Code, Codex, any MCP client).

One command, every requirement checked, exact fixes shown.


What is DevReady?

DevReady is a command-line tool that tells you whether your computer is set up to work on a project. Run devready check inside a project folder and it:

  1. Reads the versions the project says it needs (.nvmrc, .python-version, package.json engines, pyproject.toml requires-python).
  2. Compares them with what is actually installed on your machine (Python, Node.js, npm, Git, and so on).
  3. Reports PASS, WARN or FAIL for each item, with what to fix. The exit code is 1 if a requirement is unmet, so it also works in CI.

It only looks. It never installs, changes or deletes anything, makes no network calls and sends no telemetry. Fixing the problem (for example switching Node versions) is up to you.

The problem

You clone a repo. npm install explodes. The README says "Node 20", your machine has 16, and the error message says nothing useful. Multiply by every new hire, student, CI runner and AI agent that burns tokens guessing why a build failed.

The fix

$ devready check

DevReady - Environment Check

[PASS ] Python 3.15.0 found [PASS ] Git 2.52.0 found [PASS ] Node.js 23.5.0 found [PASS ] npm 11.14.1 found [FAIL ] Node engines 23.5.0 does not satisfy package.json engines (>=99) [WARN ] Python pin 3.15.0 does not satisfy .python-version (3.99)

4 passed, 1 warning, 1 failed No changes were made to your system.

Output above is from a real run (pins deliberately set to impossible values to show failures). Exit code 1 when a requirement is unmet, so it drops straight into CI.

Why DevReady

🎯 Project-awareReads what *your project* declares (.nvmrc, .node-version, .python-version, package.json engines, pyproject.toml requires-python) and compares it to what is installed. Not just "is Node installed?"
🔒 Read-only by designNever installs, edits or deletes. Never prints env values. No network. No telemetry.
🤖 Agent-readyStable, versioned JSON schema, a Claude Code plugin, an MCP server and AGENTS.md. Agents check first instead of guessing.
🛡️ Prompt-injection safeOutput contains only parsed versions and fixed text, never raw file or command output, so a hostile package.json can't smuggle instructions to your agent (tested).
📦 Zero dependenciesPure Python standard library. Installs in a second, runs anywhere Python 3.10+ does.
⚙️ CI-friendlyDocumented exit codes, JSON output, tested on Linux, macOS and Windows in CI.

Who it's for

  • 🧑🎓 Students & bootcamp learners: plain-language results instead of cryptic stack traces.
  • 🧑💻 Developers switching projects: one command tells you what's off before you lose an hour.
  • 👩🏫 Maintainers & educators: put devready check in your README's setup steps and cut "it doesn't work" issues.
  • 🏗️ CI & platform teams: fail fast with a clear preflight step.
  • 🤖 AI-agent users: give Claude Code / Codex a ground-truth environment check.

Install

Install from PyPI:

pipx install devready-cli

or run without installing:

uvx devready-cli check

From npm (runs the same PyPI release through uvx or pipx, so one of them must be installed):

npx devready-cli check

No Python tooling yet (for example a JavaScript-only machine)? uv installs without Python, and uvx then runs DevReady with no further setup:

# macOS/Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows (PowerShell)

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

uvx devready-cli check

From a clone (for development):

git clone https://github.com/Evalogical-Inc/devReady && cd devReady

python -m venv .venv

Windows: .venv\Scripts\Activate.ps1 macOS/Linux: source .venv/bin/activate

python -m pip install -e ".[dev]"

Usage

devready check                    # human-readable report for the current directory

devready check --quiet # only non-pass results (text format) devready check --project ../app # inspect another project's pins devready check --format json # machine-readable (see docs/schema.json) devready explain docker.daemon # what a check means and how to fix it devready check --format junit # or sarif, for CI devready check --only project --skip project.ports # filter by id or prefix devready fix --plan # suggested steps only; never runs them devready check --format json > baseline.json # save a snapshot (commit it for a team baseline) devready check --baseline baseline.json # show only what changed; fail only on new/worse failures devready init > .devready.json # optional config: skip ids, require node/python, required env names devready mcp # run as an MCP server over stdio devready --version

Exit codeMeaning
0No blocking failures
1A project requirement is not met
2Invalid usage (e.g. bad --project path)
3Internal error
StatusMeaning
passRequirement met
warnTool missing, or a soft pin (.nvmrc, .python-version) differs
failA hard requirement (engines, requires-python) is not met
skipNot evaluated (tool absent, or requirement syntax not understood)
errorDevReady couldn't run the check
JSON output
{

"schema_version": 1, "results": [ { "check_id": "project.node.engines", "title": "Node engines", "status": "fail", "summary": "23.5.0 does not satisfy package.json engines (>=99)", "suggestion": "Switch versions with your version manager (nvm, pyenv, mise, ...) or update the requirement.", "docs_url": "" } ] }

Use it in CI (GitHub Actions)

- uses: Evalogical-Inc/devReady@v1.3.0

with: skip: project.ports # optional; also: only, format, project, version

To show findings in GitHub code scanning, save a SARIF report and upload it. Pin findings point at the file that declares the pin (package.json, .nvmrc, go.mod, ...); tool-only findings have no file.

- uses: Evalogical-Inc/devReady@v1.3.0

with: format: sarif output: devready.sarif continue-on-error: true # still upload when a requirement is unmet

  • uses: github/codeql-action/upload-sarif@v4 with: sarif_file: devready.sarif

The job fails when a declared requirement is unmet (fail). It installs devready-cli from PyPI, so flags added after your installed release (--only, --skip, junit/sarif) need a release that includes them; set version: to pin one.

Add the badge

Tell contributors your project declares its requirements and can be checked with one command. Paste this into your README:

[![DevReady](https://img.shields.io/badge/DevReady-%E2%9C%93%20ready-2ea44f)](https://github.com/Evalogical-Inc/devReady)

Use it with AI coding agents

DevReady ships the same engine three ways, so your agent can verify the environment *before* it installs, builds or tests.

Claude Code - plugin with a skill, a /devready:doctor command and an MCP server (the MCP server needs uv; the rest works without it once devready-cli is installed):

/plugin marketplace add Evalogical-Inc/devReady

/plugin install devready --marketplace Evalogical-Inc/devReady

Any MCP client (Codex, Cursor, ...) - one read-only tool, check_environment. Also listed in the MCP Registry as io.github.Evalogical-Inc/devready:

# ~/.codex/config.toml (verify keys against your Codex version)

[mcp_servers.devready] command = "uvx" args = ["--from", "devready-cli", "devready", "mcp"]

Anything else - drop AGENTS.md in your repo, or copy skills/devready. Details in docs/agents.md.

Safety & privacy

  • Fixed command lists with timeouts; no shell, no user-built commands.
  • Project files are read only if regular files ≤ 1 MB (symlinks skipped) and are never executed.
  • Environment variable values are never read into output. Nothing leaves your machine.
  • A passing report does not guarantee your project builds.

See docs/security.md for the model, docs/versioning.md for what stays stable, docs/checks.md for every check, and SECURITY.md to report a vulnerability.

Limitations

  • Checks today: Python, Git (+ identity set), Node.js, npm, project pins (.nvmrc, .node-version, .python-version, .tool-versions, package.json engines, pyproject.toml requires-python), .env.example vs .env key names, Docker CLI + daemon, compose file validity and image platform (arm64 vs amd64) mismatch (only when the project has a Dockerfile/compose file), free disk space, Windows long paths, PowerShell policy, line endings, WSL version and Docker Desktop engine, macOS/Linux build tools, and (only when the project declares them) Go, Ruby, Java, Rust, .NET, pnpm, Yarn and Bun pins, .env not git-ignored, node_modules vs lockfile, and declared ports already in use.
  • The version-range matcher covers common npm/PEP 440 syntax; pre-releases and exotic ranges report skip rather than guess.
  • The Python version compared is the project's (.venv/venv, else the first python on PATH), and the result names the interpreter checked. DevReady does not look at other virtualenv locations (poetry, conda, pyenv shims).

Roadmap

  • Docker CLI + daemon reachability, .tool-versions, .env key-name diff, disk space, git identity, devready explain
  • Port-in-use checks, more ecosystems (Go, Rust, Java, Ruby, .NET, pnpm/yarn/bun), JUnit/SARIF output, fix --plan, GitHub Action
  • .devready.json config, --baseline snapshots
  • Platform-specific checks (Windows, macOS/Linux build tools, WSL)
  • Docker compose validity, image platform, Docker Desktop engine
  • Exact version-switch commands in suggestions (first: fnm)
  • Monorepo --recursive, org `--polic

Only the beginning is shown; read the rest in the repo

Ask PopNx