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

mcpcut

作者:RostislavMatov版本 0.4.2i★ –i在你的电脑上运行
注册名称io.github.RostislavMatov/mcpcut

安装

概览

作者提供的说明(英文原文)

Journals every MCP tool call with secrets redacted; with a policy, holds risky calls for approval

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: 网络安全

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

  • npm已安装 Node.js(用于 npx 命令)

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": {
    "mcpcut": {
      "command": "npx",
      "args": [
        "-y",
        "mcpcut",
        "wrap",
        "--server",
        "--"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add mcpcut -- npx -y mcpcut wrap --server --

这个服务器需要在启动命令中填入值,请复制设置后自行填写。

或者自己复制设置

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

{
  "mcpServers": {
    "mcpcut": {
      "command": "npx",
      "args": [
        "-y",
        "mcpcut",
        "wrap",
        "--server",
        "--"
      ]
    }
  }
}

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。

这个服务器需要在启动命令中填入值,请复制设置后自行填写。

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "mcpcut": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcpcut",
        "wrap",
        "--server",
        "--"
      ]
    }
  }
}

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9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 RostislavMatov 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“网络安全”中的其他服务器比较i

  • 星标数多于此分类中其他 1003 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1003 个服务器的 67% 更新
  • 基础检查结果等于或优于此分类中其他 1003 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

mcpcut 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(0.4.2)于19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 Node.js。

有什么可以替代它?

同一分类中有:Zeqqat, 4da MCP Server, Dependency Vulnerability Tracker — package security advisories ($0.01/query)

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:↓ 每周下载量i★ 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

Zeqqat

The safe MCP for Dokploy: agents deploy and fix apps without holding keys or seeing secrets.

作者:zeqqat非常新今天更新

在云端运行

4da MCP Server

Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.

作者:4DA-Systems非常新↓ 254/周今天更新

在你的电脑上运行

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。

mcpcut

See every tool call your AI agent makes over MCP, hold the risky ones for your approval, give it only the folders it needs, and keep a secret-redacted journal that is tamper-evident with an external anchor.

Self-hosted · Apache-2.0 · Node.js 24+ · two runtime dependencies. Start with one server on your laptop; grow into a control plane for many agents.

Quick start

Requires Node.js 24+ (node -v); on older Node, mcpcut prints one line and exits — install Node 24 with nvm, fnm or volta. Nothing else to install.

See. Put the MCP servers you already have behind mcpcut. adopt finds them in Claude Code, Cursor and Claude Desktop (run it in your project's folder to include its .mcp.json) and shows the change; --apply writes it, keeping a copy of each file (adopt --undo puts them back). Then restart the client:

npx -y mcpcut@0.4.2 adopt npx -y mcpcut@0.4.2 adopt --apply

Or put mcpcut in front of one server by hand — here for Claude Code; in any other client, the server's command becomes npx -y mcpcut@0.4.2 wrap -- :

claude mcp add fs -- npx -y mcpcut@0.4.2 wrap --server fs -- npx -y @modelcontextprotocol/server-filesystem ~/project

On Windows, npm commands start only through cmd /c (adopt adds it for you) — by hand, put it before both npx:

claude mcp add fs -- cmd /c npx -y mcpcut@0.4.2 wrap --server fs -- cmd /c npx -y @modelcontextprotocol/server-filesystem C:\path\to\project

The first start downloads mcpcut and the server; if your client gives up on it, start it once more. Let the agent work, then npx -y mcpcut@0.4.2 sessions and npx -y mcpcut@0.4.2 show : every request and response, secrets redacted (with a policy, every decision too). --server fs names the server in the decisions a policy writes to the journal and in the approval queue.

Stop. Save this as ~/.mcpcut/data/policy.json — every server behind mcpcut reads it when it starts — and restart the client. Reads pass, everything else waits for you (quarantine of new tools is off, so the first minute shows one gate: see Quarantine):

{ "version": 1, "defaultDecision": "require-approval", "classDefaults": { "read": "allow" }, "quarantine": { "enabled": false } }

A server added by hand can take its own file instead: --policy "$PWD/policy.json" right after wrap.

A write now waits, for as long as the agent waits (Claude Code moves it to the background after two minutes and picks up the answer later). Approve it from another terminal — no token needed until you add your first admin. An approval sends exactly that call; if the agent stops waiting, the request closes and nothing is sent (Approvals):

npx -y mcpcut@0.4.2 approvals list npx -y mcpcut@0.4.2 approvals approve

Or be asked right in the session: let everything pass and stop only the tools you name — Claude Code shows Accept / Decline, no second terminal. fs is the server's name in your client — adopt keeps those names (Confirming in the client):

{ "version": 1, "defaultDecision": "allow", "quarantine": { "enabled": false }, "servers": { "fs": { "confirmInClient": { "write_file": ["*"], "edit_file": ["*"] } } } }

Rather click than write JSON? npx -y mcpcut@0.4.2 ui opens the admin UI. On Servers, Create policy writes a policy that lets every call pass — restart the client once — and then every tool of every server behind mcpcut has its buttons under view → on the server's card (a server shows up there after its first call): all under client makes that tool ask you in the session, approval holds it for the queue, deny blocks it. Each click takes effect on the next call.

Prove. Sign the history, export it, and check it offline — with nothing but the directory and the public key keygen printed (on another machine, pass it with --pub):

npx -y mcpcut@0.4.2 keygen && npx -y mcpcut@0.4.2 export --report --out ./report npx -y mcpcut@0.4.2 verify --report ./report npx -y mcpcut@0.4.2 verify --sign

The last line signs the chain head: keep what it prints somewhere this host cannot rewrite — the out-of-band anchor is what makes the journal tamper-evident, not the hashes alone.

Grow. npm install -g mcpcut, then mcpcut: a setup wizard, then a server registry, per-agent keys and grants, a credential vault, a web UI, a terminal console and one address per agent (Install and first run).

What you get

  • [Journal](docs/guide/wrap-and-journal.md) — every request, response and decision, with secrets redacted before anything is written. Optionally fail-closed: no record, no call.
  • [Policy per tool](docs/guide/policies.md) — allow, deny or require-approval by server, tool name or tool class; read-only tools can pass on their own.
  • [Approvals](docs/guide/policies.md#approval-scenario) — a risky call waits, for as long as the agent waits, until you approve that one call from the CLI, the web UI, the terminal console or right in your Claude Code session. If the agent stops waiting, nothing is sent; Claude Code's retry of an approved call gets its first answer instead of running twice.
  • [Quarantine](docs/guide/policies.md#quarantine) — a new tool, or one whose description or schema changed after you trusted it, is held until reviewed, with a diff of what changed.
  • [Agents and grants](docs/guide/agents.md) — a registry of servers, a key per agent, per-tool grants, groups, and an encrypted vault, so server credentials never sit in an agent's config.
  • [Folders for agents](docs/guide/files.md) — built-in file tools over the folders you declare. Rights per agent or group, inherited down the tree; the most specific rule wins, and an empty one carves a subfolder out. Deletes go to a trash you can restore from, and every call is in the audit (files audit, and the Files page of the admin UI). Optionally a local Postgres for a complete audit, and search by meaning that runs on your machine.

mcpcut files root add ~/project mcpcut files grant research-bot ~/project --ops read,write,edit

  • [One address per agent](docs/guide/serve-and-pool.md) — every server an agent is granted behind one endpoint; grant or revoke without touching the client.
  • [Evidence](docs/guide/audit-reports.md) — a hash chain with a signed head, and an audit report anyone can verify offline with a public key.
  • [Admin UI](docs/guide/admin-ui.md) and [terminal console](docs/guide/console.md) — named admins with owner, operator and viewer roles; every change is attributed in the journal.

How it works

 AI agent ── stdio or HTTP ──▶ mcpcut ──────────────────▶ MCP servers

(Claude Code, grants → policy → (filesystem, Cursor, …) quarantine → approval GitHub, …) │ ▼ journal.db — redacted, hash-chained │ export --report ▼ verify offline, anywhere

Three ways in, one gate:

  • `wrap` — in front of one server, with no setup and no identity: the Quick start above.
  • `connect` and `serve` — named servers from the registry, a key per agent, credentials from the vault.
  • The pool (`/mcp`) — one address per agent for every server it is granted; connect --url bridges a stdio client on another machine to it.

The full picture, with the trust boundaries: docs/ARCHITECTURE.md.

Documentation

GuideCovers
Install and first runnpm or source, the setup wizard, the first owner, reaching the service by IP
Wrapping a server and reading the journalwrap, sessions, show, .mcp.json, fail-closed journaling, known limits
Policies, approvals and quarantinepolicy.json, tool classes, approvals, quarantine, tools/list filtering
Registry, agents and the vaultservers, agent keys and grants, groups, revoking access, the vault
Giving an agent foldersthe built-in file server: roots, per-agent rights, trash, audit, optional Postgres and search by meaning
HTTP agents and the poolserve, one address per agent, connect --url
Admin UIthe web console, admins and roles, its threat model
The terminal consolemcpcut in a terminal, the remote console
Services, Docker and backupsstart/stop/status, systemd and launchd, Docker, backup and restore
Audit reports and retentionexport --report, verify --report, the out-of-band anchor, prune
CLI referenceevery command and flag
Statuswhat is shipped, and the evidence behind each line

Status

mcpcut is 0.x. The core — proxy, policy, approvals, quarantine, journal, audit report, the built-in file server, admin UI and console — is shipped and covered by tests; Status lists each capability with its evidence.

  • Preview: the remote console (mcpcut --remote) and the connect --url bridge to a service on another machine. They work and are tested against a VPS over TLS, but they put a token on the network, have had only an internal security review, and may change within 0.x. On one machine, the bridge to your local serve — the client config agent create prints — is the normal way in, not a preview.
  • Tamper-evident means with an external anchor. A process running as the same OS user can rewrite the journal and re-sign it; only a chain head recorded somewhere this host cannot write exposes that. mcpcut is not tamper-proof, and whether a report satisfies an audit is the auditor's call.
  • A brake for mistakes, not a sandbox. An agent that also has a shell as your user can reach the same approvals approve you run: an admin token records who approved, it does not stop the same OS user (Approvals). The error a held call returns tells the agent a human must approve and never names the command.

Security

Please report vulnerabilities privately — SECURITY.md says how. The whole product had an internal security audit in September 2026; no independent audit has been done yet.

Contributing

Issues and pull requests are welcome — see CONTRIBUTING.md.

License

Apache-2.0 — see NOTICE.

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