Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Local environment doctor: runtime, tools, env files, and services, pass or fail.
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": {
"envdoctor": {
"command": "npx",
"args": [
"-y",
"@reneturcios/envdoctor",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add envdoctor -- npx -y @reneturcios/envdoctor mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"envdoctor": {
"command": "npx",
"args": [
"-y",
"@reneturcios/envdoctor",
"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": {
"envdoctor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/envdoctor",
"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.
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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 7, 2026
The registry name was verified with the GitHub account CloudCorpRecords, 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 (0.1.0) reached the registry 7 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Python MCP
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.
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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.
envdoctor checks whether this machine's environment matches what a repo says it needs. Point it at a repo directory and it runs a small set of deterministic checks, each one passing or failing with the fix named. It never runs code from the repo, and it never prints a secret value.
Run it without installing:
npx @reneturcios/envdoctor doctor [path]
Or install it globally:
npm install -g @reneturcios/envdoctor
envdoctor doctor [path] [--json]
envdoctor mcp envdoctor --version
doctor [path] checks the repo at path (default: the current directory) and prints a human readable report. Add --json for the machine readable report.mcp starts the MCP server on stdio.--version prints the version.Exit codes: 0 when the verdict is HEALTHY, 1 when the verdict is ISSUES, 2 for a usage error such as a target that does not exist, and 141 when the reader closed the output pipe early.
The MCP server exposes one tool:
doctor_env takes a path argument, runs the same checks as the CLI, and returns the JSON report.v0.1 runs five checks, in this order:
process.version) against the engines.node range in the target's package.json. Supported range syntax: >=, <=, >, <, =, caret ranges such as ^20.0.0, tilde ranges such as ~20.11.0, exact versions such as 20.11.0, x-ranges such as 20.x and 20.11.x, partial versions, and space separated combinations such as >=18 <21. A range outside that syntax is reported as an info finding with rule RANGE-UNSUPPORTED instead of a guess. When the target has no package.json, this check is skipped with an info finding with rule NO-PACKAGE-JSON, and the remaining checks still run.git --version succeeds.npm --version succeeds.package-lock.json, yarn.lock, or pnpm-lock.yaml exists at the target (the report says which one). A missing lockfile is a medium finding with rule NO-LOCKFILE..env.example exists at the target. If .env is missing, that is a medium finding with rule ENV-MISSING and the fix "copy .env.example to .env and fill values". If .env exists, the key names in .env.example are compared against the key names in .env, and each name missing from .env is a medium finding with rule ENV-KEYS-MISSING. When there is no .env.example, the check passes because no env file is required.Every passed check is counted in counts.checksPassed and appears in the report findings as an info entry with rule CHECK-PASS, so the printed report lists every check that ran.
This guarantee is plain: envdoctor compares key names only.
.env.example and .env are parsed by reading only the text left of the first = on each line. That text is the key name.= onward is a value. Values are discarded at parse time. They are not stored, not returned, not logged, and not printed in any report, finding, summary, or error..env.example is missing from .env; it says nothing about any value.The report counts are checksRun, checksPassed, checksFailed, checksWarned, and checksSkipped, plus a findings total broken down by severity.
engines.node range, the two tool versions, the lockfile, and the env files described above.git --version and npm --version.