Browser-MCP Navigator
Ultra-fast browser automation server over Chrome DevTools Protocol (CDP), exposed as MCP, enabling AI agents to control a real Chrome browser with low latency and minimal token usage.
README
Browser-MCP (Browser-MCP Navigator)
Ultra-fast browser automation server over Chrome DevTools Protocol (CDP), exposed as a Model Context Protocol (MCP) server.
No screenshots. No Playwright relay. Direct CDP WebSocket — 20–50× fewer tokens, ~10ms per action.
Note: The core Python package is named
browser_mcpinternally.
What it does
Controls a real Chrome browser from any AI agent that supports MCP. The agent receives a compact accessibility-tree snapshot with @eN references after every action — no pixels, no heavy HTML blobs.
Agent ──MCP──► Browser-MCP Server ──CDP──► Chrome
Quick Start — Docker (Recommended)
git clone https://github.com/ingjohnfigueroablanco/browser-MCP.git
cd browser-MCP
cp .env.example .env # optionally set MCP_API_KEY
docker compose up -d
Server ready at http://localhost:3067/sse.
Quick Start — Local (No Docker)
git clone https://github.com/ingjohnfigueroablanco/browser-MCP.git
cd browser-MCP
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e .
python -m browser_mcp # stdio mode
Connecting from Claude Code
Option A — Local subprocess / stdio
Add to your project's .mcp.json:
{
"mcpServers": {
"browser-mcp": {
"command": "python",
"args": ["-m", "browser_mcp"]
}
}
}
Option B — Docker / SSE
{
"mcpServers": {
"browser-mcp": {
"type": "sse",
"url": "http://localhost:3067/sse",
"headers": { "X-API-Key": "your-key" }
}
}
}
Connecting from other agents / frameworks
Python agent (mcp SDK)
from mcp import ClientSession
from mcp.client.sse import sse_client
async with sse_client("http://localhost:3067/sse",
headers={"X-API-Key": "your-key"}) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
result = await session.call_tool("navigate", {"url": "https://example.com"})
print(result.content[0].text)
Testing Localhost Apps (Docker)
The browser runs inside the container. localhost inside Docker ≠ your dev machine.
| Approach | How |
|---|---|
| Docker Desktop | Use http://host.docker.internal:3000 instead of localhost:3000 |
| ngrok | ngrok http 3000 → gives a public URL the container can reach |
| Local mode | (stdio) Chrome runs on your machine — localhost works normally |
Available Tools
| Tool | Description |
|---|---|
browser_start |
Launch / reconnect Chrome |
browser_stop |
Close Chrome |
navigate |
Go to URL, wait for load / networkidle |
snapshot |
Accessibility tree as compact text with @eN refs |
click |
Human-like click by coordinates |
js_click |
element.click() — reliable for React / Angular SPAs |
fill |
Clear + type text in an input |
press_key |
Key press (Enter, Tab, Escape, ArrowDown…) |
select_option |
Select native <select> by value or label |
hover |
Mouse hover (menus, tooltips) |
set_value |
React/Vue/Angular-safe input setter via native JS |
scroll |
Scroll page or element into view |
js_eval |
Run any JavaScript — drag, events, async fetch, bulk loops |
js_eval_loop |
Bulk operations — run a JS snippet once per item |
cdp_call |
Raw CDP protocol — file upload, device emulation, network intercept |
get_text |
innerText of element or full page |
wait_for |
Wait until text appears on page |
read_console |
JS console logs |
read_network |
Network requests / responses |
screenshot |
PNG base64 (escape hatch) |
current_url |
Current URL + title |
Performance & Bulk Operations
The bottleneck is LLM round-trips, not the browser
Each tool call costs one full LLM inference + HTTP round-trip. The browser executes CDP in ~10ms.
| Pattern | Tool calls | Typical wall time |
|---|---|---|
| 20 × (click + fill + click) | 60 | ~10 min |
| 1 × js_eval_loop with 20 items | 1 | ~15 sec |
Rule: for N > 5 repetitions, use js_eval_loop
# GOOD — 1 tool call for 20 users
js_eval_loop(
items=users,
script="""
document.querySelector('.agregar').click();
await new Promise(r => setTimeout(r, 400));
// ... fill logic ...
document.querySelector('.crear').click();
return item.user;
""",
delay_ms=300,
)
Environment Variables
| Variable | Default | Description |
|---|---|---|
MCP_TRANSPORT |
stdio |
stdio (local) or sse (Docker/remote) |
MCP_HOST |
0.0.0.0 |
SSE bind address |
MCP_PORT |
3067 |
SSE port |
MCP_API_KEY |
(empty) | API key header; empty = no auth |
CHROME_PATH |
auto | Explicit path to chrome.exe |
CHROME_EXTRA_ARGS |
(empty) | Extra Chrome flags |
Browser-MCP_HEADLESS |
0 |
1 for headless mode |
Browser-MCP_HUMAN_DELAYS |
1 |
0 removes human-like delays (faster) |
Architecture
mcp/ FastMCP server + tool definitions
browser/ BrowserManager — lifecycle, navigate, snapshot, waits
snapshot/ AX tree → compact text with @eN refs (no screenshots)
actions/ mouse, keyboard, forms (ref → coordinates)
cdp/ Raw CDP WebSocket connection + event buffers
chrome/ Chrome launcher, port scan, reattach
Why it's faster than Playwright:
- No Node.js relay — Python speaks CDP directly.
- Chrome stays alive between calls (daemon) — 0 ms startup per tool call.
- Snapshot = compact AX text, not full YAML or heavy screenshots.
@eNrefs = stablebackendNodeId— no DOM re-query per action.
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