Browser automation MCP server with 84 tools. Pure CDP, DOM diffing, vision hybrid.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Browser automation, one binary. The simpler alternative to Playwright β 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 β Claude Desktop, Cursor, Cline, custom β has a browser), a conversational chat UI, and a Go library with Gin-like middleware composition. Same engine, four access points.
| Scout | Playwright | |
|---|---|---|
| Install | one ~15 MB binary | npm + ~600 MB browser cache |
| Runtime dep | none (static) | Node.js always; Python/Java/.NET as wrappers |
| Drive from | Go, any shell, MCP, chat UI | TS/JS first-class; others lag |
| AI-agent native | built-in scout mcp serve | separate playwright-mcp project |
| Token-aware extraction | DOM diff, distillation, observation budgets (50β80% fewer tokens) | not provided |
| Action playbooks | record & replay deterministic JSON | codegen produces a script you maintain |
| Container deploy | drop into scratch or distroless | carry Node + browser binaries |
| CDP access | direct WebSocket, zero abstraction | internal protocol over CDP |
Run scout mcp serve and any MCP-aware agent has a browser. No second project to install, no Node runtime, no Python interpreter β the binary is the server. Configure in any MCP client:
| Category | Tools |
|---|---|
| Navigation | navigate, observe, observe_diff, observe_with_budget |
| Interaction | click, click_label, click_text, type, hover, double_click, right_click, select_option, scroll_to, scroll_by, focus, drag_drop, dispatch_event |
| Forms | fill_form, fill_form_semantic (checkbox/radio + state echo), discover_form |
| Extraction | extract, extract_all, extract_table, auto_extract, scroll_and_collect, markdown, readable_text, accessibility_tree |
| Capture | screenshot, annotated_screenshot, pdf |
| Network | enable_network_capture, network_requests |
| Tabs | open_tab, switch_tab, close_tab, list_tabs |
| Frameworks | wait_spa, detect_frameworks, component_state, app_state |
| Playback | start_recording, stop_recording, save_playbook, replay_playbook |
| Video | start_screen_recording, stop_screen_recording |
| Smart Helpers | check_readiness, suggest_selectors, session_history |
| Vision | hybrid_observe, find_by_coordinates |
| Batch | execute_batch |
| Iframe | switch_to_frame, switch_to_main_frame |
| Trace | start_trace, stop_trace |
| Cookies | cookies_list, cookies_clear, cookies_set, dismiss_cookies |
| Diagnostics | detect_dialog, detect_auth_wall, console_errors (incl. network 4xx/5xx), failed_requests, compare_tabs, upload_file |
| Utility | has_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.
Switch between headless and visible browser without restarting, and opt into local-dev workflows (loopback, private IPs):
The MCP server also reads SCOUT_ALLOW_PRIVATE_IPS=1 at startup as a one-shot toggle for trusted environments.
Record the active page as a video. Pure CDP β 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:
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 β never enters your LLM token budget.
Realistic FPS: ~10β15 on typical pages, capped at 30. Implementation polls Page.captureScreenshot (CDP Page.startScreencast events are silently dropped under --headless=new Chrome).
A conversational browser automation interface. Type natural language, watch the browser respond in real-time.
The UI streams AG-UI protocol events over SSE:
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.
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 β this section is for the Go-library path.
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