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

DevReady

by Evalogical-Incversion 1.3.0i★ 4iRuns on your computer
Registry nameio.github.Evalogical-Inc/devready

How to install

What it does

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

  • 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 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

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

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "devready": {
          "command": "uvx",
          "args": [
            "devready-cli",
            "mcp"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

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

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

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

ChatGPT cannot connect DevReady yet

DevReady 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 DevReady

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

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) 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 devready -- uvx devready-cli mcp
  4. Type /mcp in Claude Code

    You should see DevReady listed as connected

  5. Try it

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

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

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 Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) 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 DevReady and tell me what you can do for me, then show me one thing

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

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 Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) 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 DevReady and tell me what you can do for me, then show me one thing

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

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

Installed on your computer

Claude Code

claude mcp add --scope user devready -- uvx devready-cli mcp

Claude Desktop (claude_desktop_config.json)

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

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

At a glance

Downloads per weeki
277/wk
Connection
Runs on your computer
Latest versioni
1.3.0
Categoryi
Other
Published to registryi
Nov 4, 2026
Code last changedi
Nov 14, 2026
Maker
Evalogical-Inc
Packages
pypi: devready-cli
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 Evalogical-Inc, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed today

  • ✓ Pass

    Has a licence

    Uses MIT

  • – 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.

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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 94% of the other 19791 servers in this category
  • Published to the registry more recently than 81% of the other 19791 servers in this category
  • Basic checks equal to or better than 100% of the other 19791 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 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 today, and the latest version (1.3.0) reached the registry 10 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: 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 today

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★ 81.7KUpdated 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.

🩺 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