Scout

io.github.felixgeelhaarPublished by GitHub account felixgeelhaarv1.10.0Updated Nov 3, 2026

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

Overview

AI-generated overview

Scout is a single-binary browser automation MCP server that gives an AI assistant a real Chrome browser to navigate, inspect, fill forms, extract content and…

What you can do
  • Navigate pages and take structured observations, DOM diffs and token-budgeted snapshots
  • Click, type, hover, drag, select options and fill forms semantically or by label
  • Extract text, tables, markdown, readable content and accessibility trees; capture screenshots, annotated screenshots and PDFs
  • Manage tabs, iframes, cookies and network capture, and detect frameworks, app state and console or request errors
  • Record and replay action playbooks, record page video, run batch actions and traces, and check Web Vitals
When to use it
Useful when an assistant needs to drive a real browser on the user's machine: reading or scraping pages, testing a local web app, filling in forms, capturing screenshots or video, or replaying a fixed automation flow without a Node or Python runtime.
Requirements
Runs as a local process started with the scout mcp serve command; the scout binary must be installed (Homebrew cask, install script, or go install). A Chrome-compatible browser is launched by the tool. Optional ffmpeg on PATH for video encoding. No API keys or environment variables are declared; the separate chat UI can use provider keys such as ANTHROPIC_API_KEY or OPENAI_API_KEY.
Before you install
The browser acts on live sites and can submit forms, click buttons, set cookies and upload files, so actions can change remote state. Private and loopback addresses are blocked unless enabled via configure(allow_private_ips) or SCOUT_ALLOW_PRIVATE_IPS. Page content, cookies and captured network requests pass through the assistant's context. The optional chat UI sends page data to whichever LLM provider is configured.

Installation

In SourceWeft

  1. Open Scout in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[Scout]

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.

[Release] [License] [CI] [Go Reference] [Coverage] [Security (nox)]

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.

bash
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

bash
# CLI — visible browser, one-shot commandsscout observe https://example.com          # structured page snapshotscout markdown https://news.ycombinator.com # page as compact markdownscout screenshot https://github.com         # save screenshotscout extract https://example.com h1        # extract element textscout frameworks https://react.dev          # detect React, Vue, etc.
# MCP Server — give AI agents browser superpowersclaude mcp add scout -- scout mcp serve
# Browser UI — conversational browser automationscout ui serve --provider=ollama --model=mistralcd ui && npm install && npm run dev  # open http://localhost:3000

Install

bash
# Homebrewbrew install --cask klarlabs-studio/tap/scout-mcp
# Direct binarycurl -fsSL https://raw.githubusercontent.com/klarlabs-studio/scout/main/install.sh | bash
# Gogo install go.klarlabs.de/scout/cmd/scout@latest
# As a librarygo 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:

bash
claude mcp add scout -- scout mcp serve           # Claude Code
json
{"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 appearsAgent: navigate("https://...")                           → watch it workAgent: configure(headless: true)                         → back to headlessAgent: 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 pagesAgent: 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.

bash
# Start the AG-UI server (Go backend)scout ui serve --provider=ollama --model=mistral    # local, no API keyscout ui serve --provider=claude                     # needs ANTHROPIC_API_KEYscout ui serve --provider=openai --model=gpt-4o     # needs OPENAI_API_KEYscout ui serve --provider=groq --base-url=https://api.groq.com/openai --model=llama-3.3-70b-versatile
# Start the Vue frontendcd 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.

go
session, _ := agent.NewSession(agent.SessionConfig{Headless: true})defer session.Close()
// Navigate and observesession.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 selectorssession.FillFormSemantic(map[string]string{    "Email": "user-example", "Password": "secret",})
// Visual grounding — click by number, not selectorresult, _ := session.AnnotatedScreenshot()  // numbered labels on elementssession.ClickLabel(7)                        // click element [7]
// Multi-tab coordinationsession.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 directlysession.EnableNetworkCapture("/api/")captured := session.CapturedRequests("/api/users")
// Action replay — record once, replay without LLMsession.StartRecordingPlaybook("login-flow")// ... do stuff ...pb, _ := session.StopRecordingPlaybook()agent.SavePlaybook(pb, "login.json")// Later: session.ReplayPlaybook(pb)  // 100x cheaper
// Persistent profilessession.SaveProfile("session.json")   // cookies + localStoragesession.LoadProfile("session.json")
// Content distillation (5 levels)session.Markdown()          // ~2-8KB compact markdownsession.ReadableText()      // ~1-4KB main content onlysession.AccessibilityTree() // ~1-4KB semantic treesession.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:

go
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, multi-tab, live cookie/network manipulation) live in the MCP server (scout mcp serve) and chat UI (scout ui serve), which keep a session alive across actions.

CLI defaults to visible browser (--headless to hide):

bash
scout navigate <url>                  # page info as JSONscout observe <url>                   # structured observationscout markdown <url>                  # compact markdownscout readable <url>                  # main readable content (boilerplate stripped)scout accessibility <url>             # semantic accessibility treescout screenshot <url> [--output f]   # save screenshotscout pdf <url> [--output f]          # save PDFscout extract <url> <selector>        # extract textscout table <url> <selector>          # extract a table as structured rowsscout auto-extract <url>              # auto-detect dominant data patternscout eval <url> <expression>         # run JavaScriptscout form discover <url>             # discover form fieldsscout frameworks <url>                # detect frameworksscout app-state <url>                 # global app/store state (JSON)scout aria <url>                      # ARIA violation report (JSON)scout vitals <url>                    # Core Web Vitals (JSON)scout console <url>                   # console errors + network 4xx/5xx (JSON)scout dialog <url>                    # detect visible modal/dialog (JSON)scout auth-wall <url>                 # detect login/auth wall (JSON)scout cookies <url>                   # list cookies (values redacted)scout watch <url> [--interval=5s]     # live-watch page changesscout pipe <command> [selector]       # batch process URLs from stdinscout record <url> [--output f]       # interactive recording → playbookscout mcp serve                       # start MCP serverscout ui serve [flags]                # start chat UIscout version                         # print version

Architecture

scout/├── browse.go, engine.go, context.go   # Gin-like API├── page.go, selection.go              # CDP page & element interaction├── recorder.go                        # Action playbook recording (Navigate/Click/Type → JSON)├── middleware/                        # stealth, resilience, auth, network├── agent/                             # AI agent API (50+ methods)│   ├── session.go                     # Session lifecycle, Navigate, Click, Type│   ├── observe.go, diff.go            # Observe, ObserveDiff, cost estimation│   ├── content.go                     # Markdown, ReadableText, AccessibilityTree│   ├── form.go                        # DiscoverForm, FillFormSemantic, MatchFormField│   ├── annotate.go                    # AnnotatedScreenshot, ClickLabel│   ├── network.go                     # EnableNetworkCapture, CapturedRequests│   ├── spa.go                         # DetectedFrameworks, ComponentState, GetAppState│   ├── tabs.go                        # OpenTab, SwitchTab, CloseTab, ListTabs│   ├── playbook.go                    # StartRecording, ReplayPlaybook, SavePlaybook│   ├── interact.go                    # Hover, DragDrop, SelectOption, ScrollTo│   ├── profile.go                     # CaptureProfile, ApplyProfile, SaveProfile│   ├── selector.go                    # Playwright :text() selector translation│   ├── budget.go                      # ObserveWithBudget, EstimateTokens│   ├── nlselect.go                    # SelectByPrompt, fuzzy NL element matching│   ├── batch.go                       # ExecuteBatch, sequential multi-action│   ├── vision.go                      # HybridObserve, FindByCoordinates│   ├── trace.go                       # StartTrace, StopTrace, action tracing│   ├── screencast.go                  # StartScreenRecording / StopScreenRecording — video via captureScreenshot polling + ffmpeg encode│   ├── iframe.go                      # SwitchToFrame, SwitchToMainFrame│   └── vitals.go                      # WebVitals (LCP/CLS/INP)├── internal/cdp/                      # WebSocket CDP client (context-aware)├── internal/launcher/                 # Chrome process management├── cmd/scout/                         # CLI + MCP server (87 tools)└── docs/                              # Landing page (GitHub Pages)

Security

Vulnerability scanning runs on every push and PR via nox. Findings are uploaded to GitHub code scanning, annotated inline on PRs, and gated against .nox/baseline.json so regressions block merges. The status badge in the header reflects the latest main-branch scan.

nox also drives dependency remediation in place of Dependabot — the Nox Remediate workflow runs weekly (Monday 06:00 UTC) and on demand, executing nox fix against fresh OSV.dev findings and opening a single PR with the verified upgrades.

bash
# Local scannox scan -severity-threshold high .
# Local fixnox fix -input findings.json

License

MIT

Source: README.md at commit f45eb04

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.10.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts