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

No-Shell Agent Architect MCP

作者:loved0543-dotcom版本 0.1.2i★ –i在云端运行
注册名称io.github.loved0543-dotcom/no-shell-agent-architect-mcp

安装

概览

作者提供的说明(英文原文)

Turns vague automation requests into tool stacks, prompts, QA checks, and human boundaries.

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://ai-automation-operating-pack.vercel.app/api/mcp

在终端中运行这条命令

claude mcp add --transport http no-shell-agent-architect https://ai-automation-operating-pack.vercel.app/api/mcp

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": {
    "no-shell-agent-architect": {
      "url": "https://ai-automation-operating-pack.vercel.app/api/mcp"
    }
  }
}

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": {
    "no-shell-agent-architect": {
      "type": "http",
      "url": "https://ai-automation-operating-pack.vercel.app/api/mcp"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://ai-automation-operating-pack.vercel.app/api/mcp

菜单名称可能因套餐和版本不同而略有差异。

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

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 loved0543-dotcom 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4901 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4901 个服务器的 21% 更新
  • 基础检查结果等于或优于此分类中其他 4901 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

No-Shell Agent Architect MCP 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?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.2)于5个月前进入注册中心。

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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
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。

No-Shell Agent Operating Pack

An open-source operating pack for people who already use AI agents but keep getting "empty-shell automation": files, buttons, or dashboards that look finished but do not actually run a real workflow.

This is not a prompt-pack that promises magic. It is a plain-language operating system for delegating work to ChatGPT, Claude, Codex, Gemini, Hermes, and similar agents with a real objective, inputs, tool choice, permissioned account route, validation, recovery, and live-action boundary.

No-Shell Agent Architect MCP

This repository now also ships a remote MCP/API product: No-Shell Agent Architect MCP.

Current launch mode: free public beta. There is no payment flow, usage gate, paid API call, or private customer data collection in this version. The goal is to observe GitHub stars, issues, workflow feedback, and real usage before deciding whether a paid version should exist later.

It takes a plain-language automation goal and returns:

  • the recommended MCP/plugin/skill/tool stack;
  • a copy-paste no-shell agent command;
  • dry-run steps;
  • QA and audit checks;
  • recovery guidance;
  • permissioned account routes and live-action boundaries for secrets, accounts, payments, publishing, and irreversible actions.
  • a machine-readable M2M package contract for agencies, SaaS builders, and other agents that need to integrate the operating pack.

Local API preview:

npm install

npm run dev

Then open:

http://localhost:3000

Canonical remote MCP endpoint:

https://ai-automation-operating-pack.vercel.app/api/mcp

Live demo:

https://ai-automation-operating-pack.vercel.app

Launch kit:

https://ai-automation-operating-pack.vercel.app/launch

Public beta feedback:

https://github.com/loved0543-dotcom/no-shell-agent-operating-pack/issues/1

Machine-readable M2M package contract:

https://ai-automation-operating-pack.vercel.app/api/m2m-package

Official MCP Registry:

https://registry.modelcontextprotocol.io/v0/servers?search=no-shell-agent-architect-mcp

Compatibility URL:

https://no-shell-agent-architect-mcp.vercel.app

The compatibility URL is kept for old shared links only. New docs, client config, and registry metadata should use https://ai-automation-operating-pack.vercel.app.

Client config:

{

"mcpServers": { "no-shell-agent-architect": { "url": "https://ai-automation-operating-pack.vercel.app/api/mcp" } } }

Who this is for

  • Non-developers, solo operators, freelancers, and small teams who want practical AI automation.
  • People who know AI can code or automate, but do not know which plugin, skill, command, or workflow to start with.
  • People who need "make this business workflow actually work", not only "generate some code".

What's included

  • Free diagnostic: 10 reasons AI automations become empty shells.
  • Free beta starter pack: Email and document automation workflow.
  • Before/After demo: a shallow command vs a no-shell operating command.
  • Customer intake sheet.
  • Tool/router sheet for choosing agents, plugins, skills, MCP, browser, documents, spreadsheets, permissioned account connectors, or live-action review.
  • Copy-paste command cards written in natural language.
  • Result scorecard for catching fake completion.
  • Recovery playbook: fix the upstream cause instead of stopping at one more gate.
  • Permissioned connector v1 contract for Gmail/community account automation without password, cookie, or posting bypass.
  • M2M package contract for MCP/API integrators, agencies, and builders.
  • Validation tracker for a 20-person usefulness test.
  • Public beta signal tracker for stars, issues, shares, and workflow feedback.
  • Local landing mockup, PDF exports, and ZIP packages.

Quick start

  1. Read free/ai_automation_failure_diagnostic_card.md.
  2. Open demo/before_after_email_document_demo.md.
  3. Use delivery/01_customer_intake.md to describe one real workflow.
  4. Pick the tool path in delivery/02_tool_router.md.
  5. Run the command card in delivery/03_command_cards.md.
  6. Check the result with delivery/04_result_scorecard.md.
  7. If it fails, use delivery/05_recovery_playbook.md.

Rendered artifacts

  • Local landing mockup: landing/index.html
  • Free PDF: pdf/free-diagnostic-card.pdf
  • Demo PDF: pdf/before-after-demo.pdf
  • Customer ZIP: dist/no-shell-agent-operating-pack-starter-v1.zip
  • Workbench ZIP: dist/no-shell-agent-operating-pack-workbench-v1.zip
  • Validation tracker: outreach/validation_tracker.csv
  • Public beta tracker: outreach/public_beta_tracker.csv
  • Public feedback issue: https://github.com/loved0543-dotcom/no-shell-agent-operating-pack/issues/1

Collect current public beta signals without any account login or paid API:

npm run collect:beta

For the local operator's Obsidian vault, use:

npm run collect:beta:obsidian

Dogfood the product against its own public beta operation:

npm run dogfood:beta

npm run check:beta-ops

This writes outreach/dogfood_public_beta_ops.md, stages one public feedback post packet in outreach/public_beta_one_channel_launch.md, and verifies the action ledger and permissioned connector v1 contract.

For agent-to-agent or agency packaging, call the M2M package contract:

Invoke-RestMethod -Method Get -Uri https://ai-automation-operating-pack.vercel.app/api/m2m-package

This returns the MCP/API surfaces, required input schema, guaranteed output blocks, delivery artifacts, paid-readiness gates, and the current beta-signal risk.

Validation

Run the package selfcheck:

npm run selfcheck

npm run test npm run build

Expected result:

PASS package selfcheck

PASS mcp product selfcheck

The selfcheck verifies required files, rendered PDF/PNG artifacts, ZIP contents, landing copy, README/manifest, validation-tracker fields, MCP metadata, tool coverage, and secret-pattern safety.

It also checks the public beta operations loop: signal collector, dogfood output, one-channel staged launch packet, action ledger, and permissioned connector v1 runbook.

After production deploys, verify the live contract:

npm run check:live

This checks the canonical URL, compatibility URL, MCP tools/list, and the official Registry latest entry.

Marketing

Launch copy, community drafts, Product Hunt copy, Show HN copy, Reddit/LinkedIn/X drafts, and directory submission text live in docs/LAUNCH_KIT.md.

Public posting is not a bypass. It may be automated only through an approved API, connector, or logged-in browser session with an allowlisted destination, draft/staging mode, an action ledger, and an exact live-action instruction after checking each community's rules.

Operations

Deployment, monitoring, compatibility alias recovery, and post-deploy checks are documented in docs/OPERATIONS.md.

Current status

This repository is public, open source, and free to use as a public beta. It is early-stage and still needs real external validation. The product is complete enough to show to users, but demand is not proven until public usage signals and the validation trackers have real responses.

No payment connection, storefront publish, customer credential, secret, or private customer data is included in this repository. The product describes permissioned connector architecture, not stored account access. Future paid packaging is intentionally postponed until there is clear usage and feedback.

License

MIT. See LICENSE.

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