Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Read-only check that a machine meets a project's declared tool and runtime versions.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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 mcpPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account Evalogical-Inc, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Opencu
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Independent local computer-use engine and MCP server for macOS, Windows, Linux and Android
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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.
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:
.nvmrc, .python-version, package.json engines, pyproject.toml requires-python).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.
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.
$ 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
1when a requirement is unmet, so it drops straight into CI.
| 🎯 Project-aware | Reads 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 design | Never installs, edits or deletes. Never prints env values. No network. No telemetry. |
| 🤖 Agent-ready | Stable, versioned JSON schema, a Claude Code plugin, an MCP server and AGENTS.md. Agents check first instead of guessing. |
| 🛡️ Prompt-injection safe | Output 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 dependencies | Pure Python standard library. Installs in a second, runs anywhere Python 3.10+ does. |
| ⚙️ CI-friendly | Documented exit codes, JSON output, tested on Linux, macOS and Windows in CI. |
devready check in your README's setup steps and cut "it doesn't work" issues.Install from PyPI:
pipx install devready-cli
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
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
python -m pip install -e ".[dev]"
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 code | Meaning |
|---|---|
0 | No blocking failures |
1 | A project requirement is not met |
2 | Invalid usage (e.g. bad --project path) |
3 | Internal error |
| Status | Meaning |
|---|---|
pass | Requirement met |
warn | Tool missing, or a soft pin (.nvmrc, .python-version) differs |
fail | A hard requirement (engines, requires-python) is not met |
skip | Not evaluated (tool absent, or requirement syntax not understood) |
error | DevReady couldn't run the check |
{
"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": "" } ] }
- 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
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.
Tell contributors your project declares its requirements and can be checked with one command. Paste this into your README:
[](https://github.com/Evalogical-Inc/devReady)
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.
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.
.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.skip rather than guess..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)..tool-versions, .env key-name diff, disk space, git identity, devready explainfix --plan, GitHub Action.devready.json config, --baseline snapshotsfnm)--recursive, org `--policOnly the beginning is shown; read the rest in the repo