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

Scout

作者:klarlabs-studio版本 1.15.3i★ –i在你的电脑上运行
注册名称io.github.klarlabs-studio/scout

安装

概览

作者提供的说明(英文原文)

Browser automation MCP server with 84 tools. Pure CDP, DOM diffing, vision hybrid.

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: 网页与浏览器

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": {
    "scout": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/klarlabs-studio/scout:1.15.3",
        "mcp",
        "serve"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add scout -- docker run -i --rm ghcr.io/klarlabs-studio/scout:1.15.3 mcp serve

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": {
    "scout": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/klarlabs-studio/scout:1.15.3",
        "mcp",
        "serve"
      ]
    }
  }
}

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": {
    "scout": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/klarlabs-studio/scout:1.15.3",
        "mcp",
        "serve"
      ]
    }
  }
}

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 klarlabs-studio 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“网页与浏览器”中的其他服务器比较i

  • 星标数多于此分类中其他 881 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 881 个服务器的 24% 更新
  • 基础检查结果等于或优于此分类中其他 881 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

Scout 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(1.15.3)于3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 Docker。

有什么可以替代它?

同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser

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

Browser Use

作者:browser-use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

电脑或云端★ 120,087MIT17天前更新
安装

Chrome DevTools MCP

作者:ChromeDevTools

MCP server for Chrome DevTools

在你的电脑上运行★ 54,821Apache-2.016天前更新
安装

MCP Server Browser

作者:bytedance

MCP server for browser use access

在你的电脑上运行★ 39,550Apache-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。

Scout

Browser automation, one binary. The simpler alternative to Playwright — no Node, no Python, no runtime. Drive a real browser from Go, any shell, any AI agent (built-in MCP server), or a chat UI.

A single statically-linked scout binary gives you a CLI, an 87-tool MCP server (so any MCP-aware agent — Claude Desktop, Cursor, Cline, custom — has a browser), a conversational chat UI, and a Go library with Gin-like middleware composition. Same engine, four access points.

brew install --cask klarlabs-studio/tap/scout-mcp

vs. Playwright

ScoutPlaywright
Installone ~15 MB binarynpm + ~600 MB browser cache
Runtime depnone (static)Node.js always; Python/Java/.NET as wrappers
Drive fromGo, any shell, MCP, chat UITS/JS first-class; others lag
AI-agent nativebuilt-in scout mcp serveseparate playwright-mcp project
Token-aware extractionDOM diff, distillation, observation budgets (50–80% fewer tokens)not provided
Action playbooksrecord & replay deterministic JSONcodegen produces a script you maintain
Container deploydrop into scratch or distrolesscarry Node + browser binaries
CDP accessdirect WebSocket, zero abstractioninternal protocol over CDP

Quick Start

# CLI — visible browser, one-shot commands

scout observe https://example.com # structured page snapshot scout markdown https://news.ycombinator.com # page as compact markdown scout screenshot https://github.com # save screenshot scout extract https://example.com h1 # extract element text scout frameworks https://react.dev # detect React, Vue, etc.

MCP Server — give AI agents browser superpowers

claude mcp add scout -- scout mcp serve

Browser UI — conversational browser automation

scout ui serve --provider=ollama --model=mistral cd ui && npm install && npm run dev # open http://localhost:3000

Install

# Homebrew

brew install --cask klarlabs-studio/tap/scout-mcp

Direct binary

curl -fsSL https://raw.githubusercontent.com/klarlabs-studio/scout/main/install.sh | bash

Go

go install go.klarlabs.de/scout/cmd/scout@latest

As a library

go get go.klarlabs.de/scout

MCP Server — 77 Tools

Run scout mcp serve and any MCP-aware agent has a browser. No second project to install, no Node runtime, no Python interpreter — the binary is the server. Configure in any MCP client:

claude mcp add scout -- scout mcp serve           # Claude Code
{"mcpServers": {"scout": {"command": "scout", "args": ["mcp", "serve"]}}}
Tool Categories
CategoryTools
Navigationnavigate, observe, observe_diff, observe_with_budget
Interactionclick, click_label, click_text, type, hover, double_click, right_click, select_option, scroll_to, scroll_by, focus, drag_drop, dispatch_event
Formsfill_form, fill_form_semantic (checkbox/radio + state echo), discover_form
Extractionextract, extract_all, extract_table, auto_extract, scroll_and_collect, markdown, readable_text, accessibility_tree
Capturescreenshot, annotated_screenshot, pdf
Networkenable_network_capture, network_requests
Tabsopen_tab, switch_tab, close_tab, list_tabs
Frameworkswait_spa, detect_frameworks, component_state, app_state
Playbackstart_recording, stop_recording, save_playbook, replay_playbook
Videostart_screen_recording, stop_screen_recording
Smart Helperscheck_readiness, suggest_selectors, session_history
Visionhybrid_observe, find_by_coordinates
Batchexecute_batch
Iframeswitch_to_frame, switch_to_main_frame
Tracestart_trace, stop_trace
Cookiescookies_list, cookies_clear, cookies_set, dismiss_cookies
Diagnosticsdetect_dialog, detect_auth_wall, console_errors (incl. network 4xx/5xx), failed_requests, compare_tabs, upload_file
Utilityhas_element, wait_for, configure, set_viewport, web_vitals, select_by_prompt

All tools have MCP annotations (ReadOnly, OpenWorld, ClosedWorld, Idempotent) for smart auto-approval. Read-only tools like observe, extract, and screenshot run without permission prompts.

Runtime Configuration

Switch between headless and visible browser without restarting, and opt into local-dev workflows (loopback, private IPs):

Agent: configure(headless: false)                        → browser window appears

Agent: navigate("https://...") → watch it work Agent: configure(headless: true) → back to headless Agent: configure(allow_private_ips: true) → unlock localhost / 192.168.* / 10.* Agent: navigate("http://127.0.0.1:4173/") → drive your local dev server

The MCP server also reads SCOUT_ALLOW_PRIVATE_IPS=1 at startup as a one-shot toggle for trusted environments.

Screen Recording (video)

Record the active page as a video. Pure CDP — works in headless, no Playwright needed. Recording survives navigate, open_tab, and switch_tab calls in between, so a multi-page demo lands as one continuous clip:

Agent: start_screen_recording({ width: 1280, height: 800, fps: 15, format: "webm" })

Agent: navigate("https://example.com") Agent: click("#cta") Agent: navigate("https://example.com/dashboard") # recording continues across pages Agent: stop_screen_recording() → { path: "/tmp/scout-rec-XXX.webm", format: "webm", encoder: "ffmpeg", frame_count: N, duration_ms: N }

If ffmpeg is on PATH, the result is encoded to WebM (libvpx-vp9) or MP4 (libx264). If not, scout returns the raw JPEG frames directory plus an ffmpeg concat list so you can encode offline. The result is always a file path, never base64 — never enters your LLM token budget.

Realistic FPS: ~10–15 on typical pages, capped at 30. Implementation polls Page.captureScreenshot (CDP Page.startScreencast events are silently dropped under --headless=new Chrome).

Browser UI

A conversational browser automation interface. Type natural language, watch the browser respond in real-time.

# Start the AG-UI server (Go backend)

scout ui serve --provider=ollama --model=mistral # local, no API key scout ui serve --provider=claude # needs ANTHROPIC_API_KEY scout ui serve --provider=openai --model=gpt-4o # needs OPENAI_API_KEY scout ui serve --provider=groq --base-url=https://api.groq.com/openai --model=llama-3.3-70b-versatile

Start the Vue frontend

cd ui && npm install && npm run dev # http://localhost:3000

The UI streams AG-UI protocol events over SSE:

  • Chat panel with markdown rendering and quick-action pills
  • Live browser viewport with screenshot streaming and URL bar
  • Activity timeline showing tool calls in real-time
  • Stop button to cancel mid-stream

The Go server handles the agentic loop: LLM decides which scout tools to call, executes them, streams browser state deltas back to the frontend. Supports any OpenAI-compatible endpoint via --base-url.

Agent Package (Go)

High-level Go API for callers that want to embed scout in a program. Structured output, auto-wait, goroutine-safe. Most users reach scout through the CLI or MCP server above — this section is for the Go-library path.

session, _ := agent.NewSession(agent.SessionConfig{Headless: true})

defer session.Close()

// Navigate and observe session.Navigate("https://example.com") obs, _ := session.Observe() // links, inputs, buttons, text + action costs

// DOM diff — only what changed (saves 50-80% tokens) session.Click("#submit") _, diff, _ := session.ObserveDiff() // diff.Classification: "modal_appeared" // diff.Summary: "Modal/dialog appeared: Login required"

// Semantic form filling — no CSS selectors session.FillFormSemantic(map[string]string{ "Email": "user-example", "Password": "secret", })

// Visual grounding — click by number, not selector result, _ := session.AnnotatedScreenshot() // numbered labels on elements session.ClickLabel(7) // click element [7]

// Multi-tab coordination session.OpenTab("pricing", "https://example.com/pricing") session.SwitchTab("default")

// Framework detection (19 frameworks) frameworks, _ := session.DetectedFrameworks() // ["react", "nextjs"] state, _ := session.ComponentState("#app") // read React/Vue state

// Network capture — read API responses directly session.EnableNetworkCapture("/api/") captured := session.CapturedRequests("/api/users")

// Action replay — record once, replay without LLM session.StartRecordingPlaybook("login-flow") // ... do stuff ... pb, _ := session.StopRecordingPlaybook() agent.SavePlaybook(pb, "login.json") // Later: session.ReplayPlaybook(pb) // 100x cheaper

// Persistent profiles session.SaveProfile("session.json") // cookies + localStorage session.LoadProfile("session.json")

// Content distillation (5 levels) session.Markdown() // ~2-8KB compact markdown session.ReadableText() // ~1-4KB main content only session.AccessibilityTree() // ~1-4KB semantic tree session.ObserveWithBudget(500) // fit in ~500 tokens

Core Library (Go)

Gin-like Engine/Context/Group/HandlerFunc with middleware composition. The lowest-level Go API — use it when you want full control of task lifecycle, named groups, and middleware chains:

engine := browse.Default(browse.WithHeadless(true))

engine.MustLaunch() defer engine.Close()

engine.Use(middleware.Stealth()) engine.Use(middleware.Retry(middleware.RetryConfig{MaxAttempts: 3})) engine.Use(middleware.Timeout(30 * time.Second))

admin := engine.Group("admin", middleware.BasicAuth("admin", "secret")) admin.Task("export", func(c *browse.Context) { c.MustNavigate("https://app.example.com/admin") table, _ := c.ExtractTable("#users") c.Set("data", table) })

engine.RunGroup("admin")

Middleware
CategoryMiddleware
ResilienceRetry, Timeout, CircuitBreaker, RateLimit, Bulkhead
AuthBearerAuth, BasicAuth, CookieAuth, HeaderAuth
Anti-detectionStealth (10 patches: webdriver, plugins, WebGL, etc.)
NetworkBlockResources, WaitNetworkIdle
UtilitiesScreenshotOnError, SlowMotion, Viewport

CLI

The CLI is a deliberate one-shot tier: each command launches a browser, navigates, runs one read/diagnostic action, prints the result, and exits. Stateful interactive flows (click→type→submit, mul

只显示了开头部分;其余内容请在仓库中阅读

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