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irrenwill avatar

Secret Safe Env

irrenwill/secret-safe-env
STDIOregistry active
Summary

A Windows-only server that writes secrets to .env files without exposing them to the agent or chat context. Instead of pasting API keys into the conversation, the agent calls set_env_secret with just the variable name, which opens a native masked WinForms dialog where you type the value. The secret travels straight from your keyboard to PowerShell to the file, bypassing command line args, PSReadLine history, script block logging, and the model context entirely. Includes env_key_exists to confirm writes without reading values back out. Built specifically to close the leak that happens when you hand credentials to an agent inline or verify them with cat .env. The UI is in Traditional Chinese, but the tools work with standard English key names.

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secret-safe-env

npm version MCP Registry License: MIT Platform: Windows

A Model Context Protocol server that lets an AI agent put a secret (API key, token, password, connection string) into a project's .env file without the agent ever seeing the value.

The agent calls a tool with only the variable name. A native, masked Windows dialog opens locally; you type the value; a local PowerShell helper writes it straight to .env. The agent receives only a status token (OK / CANCEL / ERR:<CODE>) — never the secret.

繁體中文說明見 README.zh-TW.md.

Demo

secret-safe-env demo — the agent calls the tool with only the key name; a masked dialog opens locally for you to type the value, which is written straight to .env

▶︎ Full-quality video (with audio)


Why

When you ask an agent to "add my OpenAI key to .env", the usual paths all leak the secret: pasting it into the chat puts it in the model's context and transcripts; letting the agent write the value means the agent handled it; cat .env to "verify" exposes it again. secret-safe-env removes the secret from every one of those channels — the value travels user → masked dialog → PowerShell → .env and never enters the agent/model context.

agent: set_env_secret({ key: "OPENAI_API_KEY" })
          │  (name only — no value)
          ▼
   ┌──────────────────────────┐     you type the value here
   │  native masked dialog     │ ◄── (never shown to the agent)
   └──────────────────────────┘
          │  $script:SecretValue (never a parameter, never stdout)
          ▼
   PowerShell writes .env via [System.IO.File]
          │
          ▼
agent receives:  "OK"   ← status token only

"Can't I just edit .env myself?"

Yes — and this doesn't replace that. It removes the repetitive leave the chat → open the file → paste step so the agent handles it inline, with you only typing the value once. It also guards a different surface than .gitignore: keeping .env out of git doesn't help if the value already leaked into the chat / transcript / logs the moment you handed it over. Scope is deliberately just getting the value safely into .env — production secret management (vaults, runtime injection) is out of scope.

Platform support

This tool is Windows-only by design — the trust anchor is a native WinForms masked dialog driven by Windows PowerShell.

RequirementSupportedNotes
Windows 10 / 11✅ RequiredThe only supported OS.
Linux / macOS❌ Not supportedThe tools return UNSUPPORTED_PLATFORM and refuse; the agent is told the machine is unsupported. (The npm package still installs on any OS, it just won't run there.)
Windows PowerShell 5.1✅ RequiredLaunched from the pinned path %SystemRoot%\System32\WindowsPowerShell\v1.0\powershell.exe.
PowerShell 7+ (pwsh)❌ Not usedDeliberately never PATH-resolved, so a pwsh on PATH can't change the execution/logging surface.
Node.js✅ 18+Runs the MCP server (spawns PowerShell; never touches the value).

Install

Claude Code

claude mcp add secret-safe-env -- npx -y secret-safe-env

For the most stable setup (no npx cache surprises), install the global bin and point at it:

npm i -g secret-safe-env
claude mcp add secret-safe-env -- secret-safe-env

Updating: npm i -g secret-safe-env@latest. With unpinned npx, clear the cache (npx clear-npx-cache) or pin a version (npx -y secret-safe-env@<version>) to avoid running a stale cached copy.

Other MCP clients (.mcp.json)

{
  "mcpServers": {
    "secret-safe-env": { "command": "secret-safe-env" }        // requires `npm i -g secret-safe-env`
    // zero-install alternative (pin a version):
    // "secret-safe-env": { "command": "npx", "args": ["-y", "secret-safe-env@<version>"] }
  }
}

Reload the client so it picks up the server. If an npx-launched stdio server appears in the list but never connects on Windows, wrap the command as cmd /c npx -y secret-safe-env.

Tools

set_env_secret({ key, env_path? }) → status text

Opens the masked dialog for key; the user types the value; the helper writes key=value to .env. Returns human/agent-readable text plus an error flag — never the value. key must be UPPER_SNAKE_CASE (^[A-Z_][A-Z0-9_]*$). Values are single-line (for multi-line PEM/JSON, ask the user to edit .env manually). destructiveHint: true (it upserts a key in place).

env_key_exists({ key, env_path? }) → { exists: boolean }

Returns only whether key is present in .env — never the value. Use it to confirm a write instead of reading/cat-ing .env. readOnlyHint: true.

env_path is the absolute path to the project .env. Always pass it explicitly — a runner-launched MCP server's working directory is the runner sandbox, not your workspace. If omitted it defaults to <CLAUDE_PROJECT_DIR or cwd>/.env.

For AI agents

Use set_env_secret whenever a task needs a secret/API key/token/password/credential in a project .env (e.g. "add my OpenAI key", "set DATABASE_URL", "configure my .env"). Rules:

  • ✅ Pass only the variable name; the user supplies the value in the local dialog.
  • ✅ Confirm a write with env_key_exists (returns true/false, never the value).
  • ❌ Never ask the user to paste the secret into the chat.
  • ❌ Never write the value or a placeholder yourself.
  • ❌ Never cat/read .env to verify — that re-exposes the secret.

These rules are also delivered to the agent via the server's instructions and each tool's description, so a cold agent with zero prior context can use it correctly.

Security scope

In scope — from the moment you type the value until it lands in .env, no audited Windows/agent channel records it: PSReadLine history, 4688/Sysmon process command lines, 4103 Module Logging, 4104 Script Block Logging, PowerShell Transcription, AMSI, the MCP/agent context, OTEL traces, and mcp-debug logs. The value never crosses a PowerShell parameter boundary and is written only via [System.IO.File], never a cmdlet. A static AST lint (npm run lint:ps) and Pester transcript tests enforce this.

Out of scope (your responsibility, once the value is in .env) — cloud sync / OneDrive, VSS / backup snapshots, antivirus scanning, file ACLs, and the agent reading .env afterward.

See docs/SPEC.md for the full threat model and guarantees.

Development

npm install
npm run build       # tsc -> dist/
npm test            # Node unit tests (vitest)
npm run test:ps     # PowerShell upsert + no-leak tests (Pester 5)
npm run lint:ps     # static value-path AST lint

PowerShell tests need Pester 5: Install-Module Pester -MinimumVersion 5.0 -Scope CurrentUser.

Releases are automated: push a vX.Y.Z tag and GitHub Actions publishes to npm (Trusted Publishing / OIDC) and the MCP Registry — no tokens. See docs/DECISIONS.md.

Documentation

  • docs/SPEC.md — purpose, guarantees, threat model, scope & non-goals.
  • docs/ARCHITECTURE.md — modules and data flow.
  • docs/DECISIONS.md — design decisions and rationale.

Contributing

Contributions welcome — see CONTRIBUTING.md. The one rule: keep the no-leak guarantee intact and tested.

License

MIT

Disclaimer

secret-safe-env is provided "as is", without warranty of any kind (see LICENSE). It reduces secret exposure within the documented security scope on a best-effort basis; it does not guarantee absolute secrecy. You are responsible for confirming it fits your threat model, and for whatever happens to a value after it is written to .env — cloud sync, backups, antivirus, file permissions, and any tool (including the agent) that later reads .env. For production secrets, prefer a dedicated secrets manager.

This is an independent open-source project. It is not affiliated with, endorsed by, or sponsored by Anthropic, "Claude", or the Model Context Protocol project; those names belong to their respective owners and are used only to describe compatibility.

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Categories
AI & LLM Tools
Registryactive
Packagesecret-safe-env
TransportSTDIO
UpdatedJun 6, 2026
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