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Envspeak

by patrizzosversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.Patrizzos/envspeak

Install

Overview

Description from the maker (original English)

MCP server and CLI that resolves config/env-var cascade across .env, docker-compose, and Kubernetes

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: 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?

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": {
    "envspeak": {
      "command": "npx",
      "args": [
        "-y",
        "@patrizzos/envspeak"
      ]
    }
  }
}

Run this in your terminal

claude mcp add envspeak -- npx -y @patrizzos/envspeak

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "envspeak": {
      "command": "npx",
      "args": [
        "-y",
        "@patrizzos/envspeak"
      ]
    }
  }
}

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": {
    "envspeak": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@patrizzos/envspeak"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account patrizzos, 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 1396 servers in this category
  • Published to the registry more recently than 46% of the other 1396 servers in this category
  • Basic checks equal to or better than 100% of the other 1396 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 Envspeak 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 (0.1.0) reached the registry 2 months 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

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

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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.

EnvSpeak

MCP server and CLI that resolves config/env-var cascade across .env files, Docker Compose, and Kubernetes — tells AI agents (and you) what a variable actually evaluates to at runtime, and why.

Same problem shape as CSS cascade — several sources, non-obvious precedence rules, and a value that "wins" only because of where it's defined — applied to application configuration instead of stylesheets. A sibling project to stylesafe and stylespeak, which do the same thing for CSS.

The problem

A real app's config comes from .env, .env.local, .env.production, docker-compose.yml (environment: vs env_file:), Kubernetes ConfigMap/Secret objects, and hard-coded fallbacks in code — five-plus layers, each with its own precedence rules that don't compose the way you'd guess. The best-known gotcha: a plain .env.local overrides .env.production unless you also have a .env.production.local — because "local" outranks "environment-specific" in the conventional dotenv cascade. An agent editing config has no way to know what a variable actually resolves to, or what breaks if it changes one layer.

Tools

  • `resolve_variable` — what does DATABASE_URL actually evaluate to, and which file wins?
  • `trace_variable` — every place this variable is set, across every domain and environment.
  • `impact_preview` — if I change this value in this file, what actually changes downstream — and what's shielded by something higher-precedence?
  • `config_manifest` — a compressed, whole-project summary: every variable, its sources, and risk hotspots (secrets sitting in a tracked file, variables read in code with no fallback and no source anywhere).
  • `diff_environments` — resolve every variable under two environments/services/workloads and see what's actually different between them.

Install

npm install -g @patrizzos/envspeak
As an MCP server
{

"mcpServers": { "envspeak": { "command": "envspeak" } } }

As a CLI
envspeak resolve DATABASE_URL --environment production

envspeak trace LOG_LEVEL envspeak impact --file .env --variable LOG_LEVEL --newValue debug envspeak manifest envspeak diff --a '{"nodeEnv":"development"}' --b '{"nodeEnv":"production"}'

If --files is omitted, envspeak auto-discovers .env*, Compose, and Kubernetes manifest files under --projectRoot (default: current directory). Pass --files a,b,c to scope it explicitly — recommended for MCP calls, so the agent controls exactly what's read.

Precedence conventions encoded

dotenv (Next.js/Vite-style, the de facto standard): process.env (shell) > .env.[env].local > .env.local > .env.[env] > .env > code fallback (process.env.X || 'default'). Note .env.local outranks .env.[env] — the gotcha above.

Docker Compose: docker compose run -e (CLI) > environment: > env_file: (last file in the list wins on conflicts) > Dockerfile ENV (not analyzed).

Kubernetes: inline env: always overrides envFrom: (bulk ConfigMap/Secret import; last entry in the list wins among those). Env values are frozen at pod start — editing a referenced ConfigMap/Secret does not reach a running pod without a restart or rollout. impact_preview flags this.

Every result includes a confidence level and a caveat string, because a shell-exported or CLI-passed override is always possible and never visible to static analysis — envspeak says so explicitly rather than pretending certainty it doesn't have.

Security

  • Zero runtime dependencies. The YAML subset parser used for Compose/Kubernetes files is hand-written rather than pulled in from npm, so there's no third-party supply-chain surface. npm audit is clean by construction.
  • Path-traversal guarded. File reads are resolved against projectRoot and refuse to escape it, even if a tool call is given a crafted relative path.
  • Prototype-pollution guarded. Object keys parsed from YAML content (__proto__, constructor, prototype) are never used for property assignment.
  • Secrets are redacted by default. Kubernetes Secret values are shown only as ab***yz, never in full, regardless of which tool surfaces them.
  • Secret-likelihood heuristics. Variable names and value shapes (AWS keys, GitHub tokens, PEM blocks, high-entropy credential-shaped strings) are flagged, cross-referenced against .gitignore, and surfaced as a secretFlag / risk hotspot rather than silently passed through.
  • Bounded, non-backtracking regexes. Pattern matching used for code-default scanning caps match length and avoids nested quantifiers to avoid ReDoS on large files.
  • Regardless of these guards, envspeak reads whatever files you point it at — scope the files list an agent can pass, the same way you'd scope any tool with filesystem access.

Development

npm test   # zero dependencies — no install step needed

License

MIT

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