原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Vaultshell

作者:SoWhatI版本 0.1.2i★ –i在你的电脑上运行
注册名称io.github.SoWhatI/vaultshell

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 SoWhatI 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7234 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7234 个服务器的 51% 更新
  • 基础检查结果等于或优于此分类中其他 7234 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Vaultshell 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.2)于37天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

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

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

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

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx