Chrome Local

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Lightweight MCP server for controlling a Windows Chrome instance from WSL. Designed for AI coding agents (Claude Code, Codex, Cursor) that need browser interaction with minimal token overhead and human-in-the-loop support.

Why?

Existing browser MCP tools (Chrome DevTools MCP, Playwright MCP) have three problems in WSL environments:

Problem	This project's solution
Schema overhead: 13,700-18,000 tokens before any interaction	~1,000 tokens for 17 tools
Long page content floods LLM context (accessibility tree up to 124K tokens)	Long content auto-saved to file, only summary returned
No human intervention mechanism for CAPTCHAs/verification	Built-in auto-detection + wait_for_human tool

Prerequisites

Windows Chrome running with remote debugging enabled:

chrome.exe --remote-debugging-port=9222

Important: Close all existing Chrome windows before running this command, otherwise the debug port won't open.

Or start an isolated Chrome profile without closing your normal browser:

.\scripts\start-chrome-debug.ps1

The startup script supports multiple modes:

# Recommended for screenshots: keeps rendering active when Chrome is covered/backgrounded.
.\scripts\start-chrome-debug.ps1 -Mode stable

# Plain visible Chrome with an isolated profile.
.\scripts\start-chrome-debug.ps1 -Mode interactive

# No visible Chrome window. Best for automation, but weaker for manual CAPTCHA/login flows.
.\scripts\start-chrome-debug.ps1 -Mode headless

Equivalent npm shortcuts are available on Windows:

npm run chrome:stable
npm run chrome:stable:wsl
npm run chrome:interactive
npm run chrome:headless

stable adds Chrome flags that reduce background throttling and native occlusion issues:

--disable-backgrounding-occluded-windows
--disable-renderer-backgrounding
--disable-background-timer-throttling
--disable-features=CalculateNativeWinOcclusion

Useful options:

.\scripts\start-chrome-debug.ps1 -Mode stable -Port 9333 -UserDataDir D:\tmp\chrome-mcp-profile
.\scripts\start-chrome-debug.ps1 -Mode stable -WindowWidth 1600 -WindowHeight 1000
.\scripts\start-chrome-debug.ps1 -Mode stable -ExtraArgs "--lang=en-US"
.\scripts\start-chrome-debug.ps1 -Mode stable -ReadyTimeoutSeconds 20
.\scripts\start-chrome-debug.ps1 -Mode stable -ReuseExisting
.\scripts\start-chrome-debug.ps1 -Mode stable -DryRun

By default, the script refuses to launch a second Chrome when the requested debug port is already listening. Use -ReuseExisting only when you intentionally want to attach to the currently running Chrome CDP endpoint.

If the MCP server runs in WSL and cannot reach Windows localhost:9222, bind Chrome to a reachable address and point the MCP server at the Windows host IP:

.\scripts\start-chrome-debug.ps1 -Mode stable -RemoteDebuggingAddress 0.0.0.0

Or use the npm shortcut:

npm run chrome:stable:wsl

Then start the MCP server with the Windows host IP instead of localhost:

node dist/index.js --host <windows-host-ip> --port 9222

0.0.0.0 exposes Chrome DevTools beyond local loopback. Use it only on a trusted local machine/network and prefer firewall rules that restrict access.

Verify Chrome DevTools Protocol is reachable:

curl http://localhost:9222/json/version

Install

cd /path/to/chrome-local-mcp
npm install
npm run build

Setup

Windows Codex CLI

codex mcp add chrome-local -- node "D:\repository\chrome-local-mcp\dist\index.js"
codex mcp list

If Chrome uses a non-default host or port:

codex mcp add chrome-local -- node "D:\repository\chrome-local-mcp\dist\index.js" --host localhost --port 9222

Windows Claude Code

claude mcp add --scope user chrome-local -- node "D:\repository\chrome-local-mcp\dist\index.js"
claude mcp list

Claude Code

claude mcp add --scope user chrome-local -- node /path/to/chrome-local-mcp/dist/index.js

OpenAI Codex CLI

Edit ~/.codex/config.toml:

[mcp_servers.chrome-local]
command = ["node", "/path/to/chrome-local-mcp/dist/index.js"]

Cursor / VS Code

Add to .cursor/mcp.json or VS Code MCP settings:

{
  "mcpServers": {
    "chrome-local": {
      "command": "node",
      "args": ["/path/to/chrome-local-mcp/dist/index.js"]
    }
  }
}

Custom host/port

If WSL and Windows don't share localhost (WSL2 NAT mode), pass the Windows host IP:

node dist/index.js --host 172.x.x.1 --port 9222

You can also configure defaults with environment variables:

Variable	Description	Default
CHROME_HOST	Chrome DevTools Protocol host	localhost
CHROME_PORT	Chrome DevTools Protocol port	9222
CHROME_MCP_TMPDIR	Directory for saved content and screenshots	OS temp directory + chrome-mcp
CHROME_MCP_CHALLENGE_LOG	JSONL log path for human verification events detected during normal MCP use	repo logs/challenge-events.jsonl
CHROME_MCP_CHALLENGE_LOG_DEDUPE_MS	Dedupe window for the same URL/challenge log event	60000
CHROME_MCP_DISABLE_CHALLENGE_LOG	Set to 1 to disable challenge event logging	unset

Tools

Navigation

Tool	Description
navigate(url)	Open a URL. Auto-detects verification challenges.
wait_for(selector, timeout?)	Wait for an element to appear.
go_back()	Browser back button.

Content

Tool	Description
get_content(selector?, max_length?)	Extract page text. Short text returned directly; long text saved to file with preview.
evaluate(expression)	Execute JavaScript in page context. Long results are saved to file with preview.
screenshot(path?, full_page?)	Save screenshot to file (never inlined into context).

Interaction

Tool	Description
click(selector)	Click an element. Auto-detects verification after click.
fill(selector, value)	Type into a form field.
press_key(key)	Press a key (Enter, Tab, Escape, etc.).
scroll(direction, amount?)	Scroll up or down.

Tabs

Tool	Description
tab_list()	List all open tabs.
tab_open(url)	Open URL in a new tab.
tab_switch(id)	Switch to a tab by ID.
tab_close(id?)	Close a tab.

Search

Tool	Description
search(query, max_results?)	Google search with structured results. Auto-detects CAPTCHAs.

Human Intervention

Tool	Description
wait_for_human(reason, wait_until_gone?, wait_until_present?, timeout?)	Pause for human action (CAPTCHA, login, etc.). Polls until condition is met.
check_page_status()	Detect verification challenges on current page.

Human-in-the-loop

Verification challenges are auto-detected after every navigation-related action. When detected, the tool response includes:

{
  "status": "human_verification_needed",
  "challenges": ["cloudflare", "turnstile"],
  "message": "Page has a verification challenge. Complete it in the browser, then call wait_for_human or retry."
}

Detected challenge types: cloudflare, recaptcha, hcaptcha, turnstile, google_sorry, google_consent, age_gate.

Access prompts that do not block readable content, such as article subscription prompts or paid preview banners, should not return human_verification_needed.

When normal MCP usage detects a real human verification challenge, it appends a JSONL event to logs/challenge-events.jsonl by default:

{
  "event": "human_verification_detected",
  "triggered": true,
  "triggered_at": "2026-05-02T02:10:00.000Z",
  "webpage": {
    "url": "https://example.com/",
    "title": "Example"
  },
  "has_challenge": true,
  "challenges": ["cloudflare"]
}

Use CHROME_MCP_CHALLENGE_LOG to write this log somewhere else.

Challenge regression log

Run the canary monitor against a Chrome instance to record pages where challenge detection may be too aggressive:

npm run build
npm run monitor:challenges

The monitor writes JSONL entries to logs/challenge-regressions.jsonl. Each entry includes checked_at, triggered_at, and the webpage URL/title. By default it only logs; use -- --fail-on-issue true if you want issues to make the command exit non-zero.

Typical flow

Agent:  navigate("https://protected-site.com")
        -> {"status": "human_verification_needed", "challenges": ["cloudflare"]}

Agent:  wait_for_human(reason="Cloudflare verification", wait_until_gone="#challenge-running")
        -> User completes verification in Chrome
        -> {"status": "ready", "waited_ms": 8000}

Agent:  get_content()
        -> Page content extracted normally

Token efficiency

Metric	chrome-local-mcp	Chrome DevTools MCP	Playwright MCP
Schema overhead	~1,000 tokens	~18,000 tokens	~13,700 tokens
navigate response	~60 tokens	varies	~3,800+ tokens (accessibility tree)
screenshot	~30 tokens (file path)	~4,000 tokens (base64)	~4,000 tokens
10-page research task	~5,000 tokens	~70,000+ tokens	~500,000+ tokens

These numbers are order-of-magnitude estimates. Actual token usage depends on the client, tool schema version, page complexity, and task flow.

Architecture

Claude Code / Codex (WSL)
  ↓ stdio
chrome-local-mcp (Node.js, WSL)
  ↓ CDP WebSocket (ws://localhost:9222)
Chrome (Windows, with --remote-debugging-port=9222)

• Transport: stdio (MCP standard)
• CDP client: chrome-remote-interface
• Long content saved to /tmp/chrome-mcp/; agents read files on demand

Development

npm run build    # Compile TypeScript
npm run dev      # Watch mode
npm run test     # Run test suite

License

MIT