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

DevTool MCP

作者:standardbeagle版本 0.3.1i★ –i在你的电脑上运行
注册名称io.github.standardbeagle/devtool-mcp

安装

概览

作者提供的说明(英文原文)

Development tooling MCP server with process management, proxy, and frontend diagnostics

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: 其他

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": {
    "devtool": {
      "command": "npx",
      "args": [
        "-y",
        "@standardbeagle/devtool-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add devtool -- npx -y @standardbeagle/devtool-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": {
    "devtool": {
      "command": "npx",
      "args": [
        "-y",
        "@standardbeagle/devtool-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": {
    "devtool": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@standardbeagle/devtool-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。

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 standardbeagle 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32497 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32497 个服务器的 1% 更新
  • 基础检查结果等于或优于此分类中其他 32497 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

DevTool 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(0.3.1)于11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。你的电脑上还需要有 Node.js, Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Zoo 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Zoo MCP

作者:KittyCAD

An MCP server that provides access to the Zoo API for various CAD operations and tools.

在你的电脑上运行今天更新
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。

agnt

Give your AI coding agent browser superpowers.

What is agnt?

agnt is a new kind of tool designed for the age of AI-assisted development. It acts as a bridge between your AI coding agent and the browser, extending what's possible during vibe coding sessions.

When you're in the flow with Claude Code, Cursor, or other AI coding tools, agnt lets your agent:

  • See what you see - Screenshots, DOM inspection, and visual debugging
  • Hear from you directly - Send messages from the browser to your agent
  • Sketch ideas together - Draw wireframes directly on your UI
  • Debug in real-time - Capture errors, network traffic, and performance metrics
  • Test on any device - Tunnel to phones and BrowserStack with full instrumentation
  • Extend its thinking window - Structured data uses fewer tokens than your descriptions

Demo

*Three rounds of blind terminal automation can't fix a button that's half off-screen. One pass with eyes on the live page can — full demo (1:40).*

*Draw wireframes directly on your running app, then send them to your AI agent*

The Vision: Extending Your Agent's Capabilities

Traditional AI coding assistants are blind to what's happening in the browser. They can write code, but they can't:

  • See the visual result of their changes
  • Know when JavaScript errors occur
  • Understand layout issues you're experiencing
  • Receive feedback without you typing it out

agnt changes this. It creates a bidirectional channel between your browser and your AI agent:

┌─────────────────┐      ┌─────────────────┐      ┌─────────────────┐

│ Your Browser │ ←──► │ agnt │ ←──► │ AI Agent │ │ │ │ │ │ │ │ - See changes │ │ - Proxy traffic│ │ - Receives │ │ - Send notes │ │ - Capture errors│ │ context │ │ - Draw sketches│ │ - Inject tools │ │ - Acts on │ │ - Click to log │ │ - Route messages│ │ feedback │ └─────────────────┘ └─────────────────┘ └─────────────────┘

Quick Start

Installation

npm (recommended):

npm install -g @standardbeagle/agnt

pip/uv:

pip install agnt

or

uv pip install agnt

From source:

git clone https://github.com/standardbeagle/agnt.git

cd agnt make build && make install-local

As MCP Server (Claude Code, Cursor, etc.)

Add to your MCP configuration:

{

"mcpServers": { "agnt": { "command": "agnt", "args": ["mcp"] } } }

Or install as a Claude Code plugin:

/plugin marketplace add standardbeagle/agnt

/plugin install agnt@agnt

One-shot: `agnt skills` — install the agnt agent skills and register the MCP server in a single command. It uses Vercel's open skills CLI to fetch the skills, then wires up MCP:

agnt skills                 # install for Claude Code + register the MCP server

agnt skills --agent cursor # install the skills for a different agent

Under the hood it runs npx -y skills add standardbeagle-tools/agnt --all -a claude-code, then claude mcp add agnt -s user -- agnt mcp (for other agents it prints the MCP config to add). Requires Node.js (npx) on PATH.

As PTY Wrapper (Enhanced Terminal)

Wrap your AI tool for overlay features:

agnt run claude --dangerously-skip-permissions

agnt run cursor agnt run aider

This adds a terminal overlay menu (Ctrl+P) and enables the browser-to-terminal message bridge.

First-Run Setup (auto-configures a new project)

The first time you run agnt run claude in a project that has no .agnt.kdl, agnt drives a one-time setup run before your coding session:

cd my-new-project        # no .agnt.kdl yet

agnt run claude

Most projects never reach the setup phase: agnt first tries a deterministic auto-config and writes .agnt.kdl itself when the project shape is unambiguous. Recognised out of the box:

ShapeMarkerDev script and proxy
Node web apppackage.json with a dev/start scriptthat script, proxy via URL detection
Go (Wails)wails.jsonwails dev
.NET web project*.csproj with the Web SDK at the root, or under src/* / */dotnet watch run (per project, port from launchSettings.json)
docker-composecompose.yaml / docker-compose.ymldocker compose up, one proxy per service that publishes a host port
ProcfileProcfile.dev / Procfileone script per entry, proxy on web
Djangomanage.pypython manage.py runserver (8000)
Railsbin/railsbin/dev or bin/rails server (3000)
Laravelartisancomposer run dev or php artisan serve (8000)
Phoenixmix.exs with :phoenixmix phx.server (4000)
Hugo / Jekyll / mkdocshugo.toml + content/, _config.yml + Gemfile, mkdocs.ymlhugo server (1313), bundle exec jekyll serve (4000), mkdocs serve (8000)
Static siteindex.html at the rootstdlib file server (8000)

Detection accumulates: a .NET solution with a compose file gets dotnet test/build plus the compose topology. Test, lint, and build commands for Go, Node, Python, Ruby, PHP, Elixir, and .NET are registered as on-demand scripts. Known ports are written as fallback-port so the proxy exists before the first request. Edit the generated file freely; changes apply live.

Only when auto-config cannot decide does the setup phase run:

  1. Setup phase — Claude launches in setup mode and configures the project: it detects the stack, registers your dev-server script(s) and a reverse proxy, and writes a .agnt.kdl. If the agnt:setup-project skill isn't installed, Claude tells you the exact install step (/plugin marketplace add standardbeagle/agnt then /plugin install agnt).
  2. Relaunch — when setup exits, agnt relaunches Claude into a normal coding session with autostart enabled, replaying your original arguments. Your dev servers and proxy come up automatically.
# Pass a task through — it's replayed verbatim into the relaunched session:

agnt run claude -- "add a /healthz endpoint"

If you decline setup (no .agnt.kdl gets written), agnt records a timestamped marker and won't nudge again until the re-nudge window elapses (default 7 days, configurable via setup { renudge-ttl-days 7 } in .agnt.kdl). A successful setup is remembered permanently.

Setup also works for other agents — each gets install instructions tailored to its own skill/command mechanism (see docs/agent-support-matrix.md).

agnt init — configure without launching a session

Prefer to set the project up on its own? agnt init runs only the setup phase (no relaunch) and exits once .agnt.kdl is written:

agnt init            # configure with claude

agnt init gemini # configure with a different agent

A successful agnt init records the permanent marker too, so a later agnt run skips straight to the coding session.

Channel Mode (Beta — Claude Code only)

Beta / Experimental: Channel mode requires a forked MCP SDK and a development flag in Claude Code. Behavior and schema may change.

Claude Code v2.1.80+ can receive real-time browser errors, diagnostics, and user interactions as push events in context -- without the PTY wrapper. Add channel { enabled true } to .agnt.kdl and launch with claude --dangerously-load-development-channels server:agnt. See the Channel Mode section in CLAUDE.md for full schema, event format, and the channel_reply tool for sending messages back to the browser overlay.

Core Features

1. Browser Superpowers

Start a proxy and your agent gains eyes into the browser:

proxy {action: "start", id: "app", target_url: "http://localhost:3000"}

Now your agent can:

// Take screenshots

proxy {action: "exec", id: "app", code: "__devtool.screenshot('current-state')"}

// Inspect any element proxy {action: "exec", id: "app", code: "__devtool.inspect('#submit-button')"}

// Audit accessibility proxy {action: "exec", id: "app", code: "__devtool.auditAccessibility()"}

// Check what the user clicked proxy {action: "exec", id: "app", code: "__devtool.interactions.getLastClickContext()"}

2. The Floating Indicator

Every proxied page gets a small floating bug icon. Click it (or press Ctrl+Y) to open the developer panel: a drawer docked on the left that pushes your app aside. Drag its header to detach it into a floating window, drop it on either edge to dock it again, and drag its edge to resize. From the panel you can:

  • Send messages directly to your AI agent
  • Take screenshots of specific areas
  • Select elements to log their details
  • Open sketch mode for wireframing

No more alt-tabbing to describe what you see - just click and send.

3. Sketch Mode

Press the sketch button and draw directly on your UI:

  • Rectangles, circles, arrows, and freehand drawing
  • Wireframe elements: buttons, inputs, sticky notes
  • Save and send to your agent with one click

Perfect for saying "I want a button here" or "this layout is wrong" without typing a word.

4. Real-Time Error Capture

JavaScript errors are automatically captured and available to your agent:

proxylog {proxy_id: "app", types: ["error"]}

→ {message: "TypeError: Cannot read property 'map' of undefined", stack: "at ProductList (products.js:42)", timestamp: "..."}

Your agent sees errors as they happen, not when you remember to mention them.

5. Extending the Thinking Window

Structured data consumes fewer tokens than natural language descriptions:

  • Error summaries - proxylog {types: ["error"]} vs. "I'm seeing a TypeError on line 42 that says..."
  • Click context - interactions.getLastClickContext() vs. "I clicked the blue button in the header..."
  • DOM state - inspect('#element') vs. "there's a div with some nested spans and..."
  • Consolidated stack traces - Pre-processed React error walls into actionable summaries
  • Status at a glance - Structured JSON your agent can parse efficiently

Instead of dumping 100 lines of nested React errors into the context, agnt consolidates verbose output into concise, actionable data.

6. Sign In as Anyone

Declare test users in .agnt.kdl and agnt serves a dev OIDC issuer on your proxy. Switch between a standard user and an admin from the indicator's persona chip, :as admin in the terminal, or the devauth tool for your agent. No real IdP accounts involved.

Works over loopback, over your tailnet (bind "tailscale", identity from tailscale whois, served over HTTPS with the node's certificate when the tailnet issues one), and behind a named Cloudflare tunnel with Access verified at the origin. See Dev Sign-in & Protected Sharing.

MCP Tools

ToolDescription

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