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Vaultshell

by SoWhatIversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.SoWhatI/vaultshell

Install

Overview

Description from the maker (original English)

Injects secrets into shell commands at exec time; plaintext never reaches the LLM context

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: Search & AI memory

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

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": {
    "vaultshell": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/sowhati/vaultshell:0.1.2"
      ]
    }
  }
}

Run this in your terminal

claude mcp add vaultshell -- docker run -i --rm ghcr.io/sowhati/vaultshell:0.1.2

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "vaultshell": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/sowhati/vaultshell:0.1.2"
      ]
    }
  }
}

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": {
    "vaultshell": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/sowhati/vaultshell:0.1.2"
      ]
    }
  }
}

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account SoWhatI, 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 Search & AI memoryi

  • More stars than 0% of the other 7243 servers in this category
  • Published to the registry more recently than 51% of the other 7243 servers in this category
  • Basic checks equal to or better than 100% of the other 7243 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 Vaultshell 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 (0.1.2) reached the registry 37 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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.

vaultshell

English | 简体中文

Available on the official MCP Registry: io.github.SoWhatI/vaultshell

An MCP server that stores secrets in local secure storage, injects them into shell child processes at exec time based on rules, and guarantees secret plaintext never reaches the model context — not in tool responses, not in logs, not in audit records.

The closed loop: reference-based storage + conditional injection + mandatory output redaction.

Status: M3 — one-shot commands + persistent sessions + credential proxy +

external CLI backends. See

CHANGELOG and docs/design-spec.md.

The iron rule

  • No MCP tool returns secret plaintext — ever. Responses contain only names, masks ([REDACTED:NAME]), and redacted output.
  • Resolvers are only invoked inside the launcher; values go straight into the child process env and never pass through the tool layer.
  • shell_exec has no free-form env parameter. Secrets enter by rule reference only.
  • Redactor failures are fail-closed: output is discarded, never returned raw.

Quick start

Requires Node.js 20+.

Install from GitHub (no npm registry account needed)
# Run on demand directly from the repo (npm installs devDependencies and

builds dist/ via the prepare script):

npx -y github:SoWhatI/vaultshell

Or install globally:

npm i -g github:SoWhatI/vaultshell

This is the same code as the npm registry package, installed from git — npm clones the repo, runs prepare (→ npm run build) and links the vaultshell bin. Pin a tag for reproducibility: npx -y github:SoWhatI/vaultshell#v0.1.1.

Docker (ghcr.io)
docker run -i --rm \

-e MASTER_KEY=<64 hex chars> \ -v ~/.vaultshell:/home/node/.vaultshell \ ghcr.io/sowhati/vaultshell:latest

MCP client config using Docker:

{

"mcpServers": { "vaultshell": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "MASTER_KEY=<64 hex chars>", "-v", "~/.vaultshell:/home/node/.vaultshell", "ghcr.io/sowhati/vaultshell:latest" ] } } }

The image runs as the non-root node user (HOME=/home/node), so the data volume mounts at /home/node/.vaultshell. node-pty is excluded from the image — sessions automatically fall back to pipe mode (pty: false) in containers; injection and redaction are unchanged. The web subcommand passes through (docker run … ghcr.io/sowhati/vaultshell web — loopback inside the container, of limited use).

No Smithery distribution: Smithery has gone hosted-only (it only

accepts servers deployed to its own infrastructure). vaultshell's secrets

must stay on the user's machine by design — third-party hosting is

incompatible with its threat model, so we deliberately do not publish

there.

From source
# Run via npx (after publish) or from source:

npm install && npm run build

1. Create a master key for the encrypted-file backend

export MASTER_KEY=$(openssl rand -hex 32)

2. Create ~/.vaultshell/config.yaml and ~/.vaultshell/rules.yaml

(full annotated examples: docs/user-guide.md)

3. Store a secret (never echoed back) and run with injection

via your MCP client's tools: secret_set, then shell_exec

Claude Desktop (claude_desktop_config.json):

{

"mcpServers": { "vaultshell": { "command": "npx", "args": ["-y", "vaultshell"], "env": { "MASTER_KEY": "<64 hex chars>" } } } }

Full setup, configuration reference, rule-writing guide, client integration, and FAQ: [docs/user-guide.md](docs/user-guide.md).

MCP tools

ToolPurposeReturns
shell_execRun a one-shot command with per-rule injection. Params: command, cwd?, profile?, extraEnv? (allowlist), dryRun?, timeoutSeconds? (≤3600){exitCode, stdout, stderr} (redacted), injected:[names], ruleId, redactedCount, timedOut, truncated, warnings; dryRun → {dryRun:true, ruleId, injected, envKeys, denied}
shell_session_openOpen a persistent session; secrets injected once at creation{sessionId, cwd, injected:[names], pty, ttlSeconds}
shell_session_sendSend a command to a session{output} (merged, redacted), exitCode, redactedCount
shell_session_closeKill a session; secrets die with the process{ok}
shell_session_listList live sessionsmetadata only
shell_session_revokeKill and rebuild the session without secrets{sessionId} (new)
shell_proxy_startStart a credential-injecting reverse proxy on 127.0.0.1{proxyId, port, expiresAt, upstreamHost}
shell_proxy_stopStop a proxy{ok}
shell_proxy_listList running proxiesmetadata only (incl. secret name, never value)
secret_listList names + metadata (backend ref, resolvable)never values
secret_setWrite to backend; persisted, never echoed{name, ok}
secret_deleteDelete and unregister{name, ok}
secret_probeCheck a ref resolves{ok, masked:"****"}
rule_listRules + static warnings (e.g. inject-everywhere)—
rule_validateStatic findings: unknown secrets, unreachable rules, inject-everywhere, union risk, requireConfirm capability{ok, findings[]}
audit_queryRead audit entriesnames + redacted commands only

Execution limits (M3)

  • dryRun: true on shell_exec reports the would-be ruleId, injected names, final env key list (never values) and the deny-list verdict — without executing anything.
  • timeoutSeconds (default defaults.execTimeoutSeconds = 120, capped at 3600) kills the command and returns timedOut: true.
  • defaults.maxOutputBytes (default 1 MiB) truncates each output stream and sets truncated: true. Truncation happens after the Redactor — it can never bypass redaction.
  • defaults.maxConcurrentExecs (default 8) rejects excess concurrent shell_exec calls with a clear error (no queue).
  • All of the above are recorded in the audit log (dryRun / timedOut / truncated flags).

Web config UI

vaultshell web            # loopback-only HTTP UI on a random port

vaultshell web --port 5317

Prints a one-time-token URL like http://127.0.0.1:5317/?token=… — open it to manage secrets (write-only), edit rules with live static-validation warnings and a matcher dry-run, edit config, and browse the redacted audit log. The token dies with the process; every API call needs it, mutations require same-origin application/json requests, and no endpoint can ever return a secret value. Do not port-forward it. Design & threat model: docs/web-config-ui-design.md.

Credential proxy (M3)

For high-sensitivity API tokens, prefer not landing the secret in env at all. Declare a proxy in config.yaml:

proxies:
  • id: stripe upstreamHost: https://api.stripe.com secretRef: STRIPE_KEY # registry name or full ref headerTemplate: "Authorization: Bearer ${value}"

Then shell_proxy_start { "id": "stripe" } → { port, expiresAt }, and commands call http://127.0.0.1: /v1/charges instead of https://api.stripe.com/v1/charges. The proxy injects the header in memory only and auto-stops after its TTL (default 300s). Audit records the host and secret name, never the header value.

Boundaries: http:///https:// upstreams only (proxy→upstream TLS is properly validated; no CONNECT tunneling, no TLS termination); the client→proxy leg is plaintext on 127.0.0.1, which inherits the same-UID local-process boundary from the threat model.

Persistent sessions (M2)

shell_session_open spawns a long-lived shell with the matched rule's secrets injected at creation. The session is recycled after an idle TTL (defaults.sessionTtlSeconds, default 900s, overridable per rule via ttlSeconds or per call) — when the process dies, the secrets die with it. shell_session_revoke kills a possibly-compromised session immediately and rebuilds one without any secrets.

Sessions use a real PTY via node-pty (an optional dependency — native build, needs Xcode CLT on macOS / build-essential + python3 on Linux). If node-pty cannot be loaded or spawned, vaultshell automatically falls back to a plain child_process shell and the shell_session_open response says pty: false; injection and redaction behave identically, only interactivity is degraded. Session output merges stdout/stderr (PTY semantics) and passes through the same Redactor.

Backend support matrix

BackendRef schemeStatusPlatformsNotes
Encrypted fileencfile://NAME✅ ImplementedallAES-256-GCM; master key from env:MASTER_KEY or macOS keychain; default
Local keychainkeychain://svc/acct⚠️ macOS onlymacOSspawns security CLI; Linux/Windows give a clear error
Process envenv://NAME✅ Implementedallread-only; good for CI
Filefile://path✅ Implementedallfirst line; refuses permissions > 0600
Inlineinline:⚠️ Restrictedallplaintext in config; disabled by default, startup warning when enabled
1Passwordop://vault/item/field✅ via CLIallneeds authenticated op CLI; read-only
Vaultvault://path#field✅ via CLIallneeds authenticated vault CLI; read-only
Infisicalinfisical://proj/env/KEY✅ via CLIallneeds authenticated infisical CLI; read-only
Dopplerdoppler://proj/config/KEY✅ via CLIallneeds authenticated doppler CLI; read-only

Details, per-backend setup, and how to register a plugin resolver: docs/backends.md.

Threat model

ThreatMitigation
Model-context leakageStructural: values never cross the tool layer; only names and masks
Command output echoing secretsMandatory redaction (exact + URL/Base64 variants + generic patterns), fail-closed
Agent dumping env (env, printenv, /proc/*/environ, …)Hard-blocked deny-list (configurable via security.dangerousCommands: extra patterns, or mode: warn to allow-with-audit) + shell_exec_blocked audit events
Same-UID local process reading /proc/PID/environOS-level limit, cannot be fully fixed; per-command injection shrinks the window. Explicit boundary.
Long secret residencyPer-command injection by default; sessions have idle-TTL recycling + instant revoke
Misconfigured rule causing inject-everywhererule_validate / rule_list static warnings; mergeStrategy defaults to override; requireConfirm rules demand interactive approval (fail-closed without elicitation)
Config files leakingConfig stores refs only, never values; inline: disabled by default; store files forced to 0600

Full discussion: docs/design-spec.md §7. Report vulnerabilities privately per SECURITY.md.

Data layout

~/.vaultshell/

config.yaml # main config rules.yaml # injection rules + secret refs (refs only, never values) secrets.enc # encrypted-file backend (0600) audit/ # JSONL audit, redacted

VAULTSHELL_HOME overrides the data directory (used by tests).

Development

npm run build   # tsc

npm test # vitest — redactor property tests, backend round-trips,

rule matching, shell_exec end-to-end

See CONTRIBUTING.md — including the security red lines every PR mus

Only the beginning is shown; read the rest in the repo

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