nexus-browser-mcp
A browser-automation MCP server built on Playwright that provides deterministic snapshots via MutationObserver/requestAnimationFrame, HITL governance, multi-task isolation, and self-healing browser sessions for LLM-driven browsing.
README
English | 简体中文
nexus-browser-mcp
A browser-automation MCP server with event-driven, deterministic snapshots.
Built on Playwright. Drives a browser for LLMs through the Accessibility Tree — navigate, click, type, read, fill forms, manage tabs. Key differences from alternatives (e.g. Playwright MCP):
- Deterministic snapshots: no fixed-interval
sleepguessing. AMutationObserverrecords the last DOM mutation and the browser's ownrequestAnimationFrameloop decides when the page has been quiet forSTABLE_WINDOW_MS(default 800ms) before extracting a snapshot — eliminating "captured mid-animation" races. - Built-in governance gates: HITL rules (e.g. clicking "pay/confirm" requires human approval),
browser_evaluatedisabled by default with unconditional confirmation, JSONL audit log (with sensitive-parameter redaction). - Multi-task isolation: one MCP connection (session) can host multiple independent
task_ids, each with its own BrowserContext (no login-state cross-contamination). Idle tasks are reclaimed by TTL; on next use they're rebuilt and the last page is restored automatically. - Death observability + self-healing: if a tab or the whole browser is closed externally or crashes, the next call rebuilds it automatically (a persistent profile keeps your login state) and prepends a
[state change]notice telling the agent exactly what was restored and what was lost — no raw Playwright exceptions leak through.
Installation
pip install nexus-browser-mcp
# or
uvx nexus-browser-mcp
Two executable entry points are installed: nexus-browser-mcp and nexus-browser. A guaranteed fallback: python -m nexus_browser.server.
Requires playwright and its browser binary:
pip install playwright && playwright install chromium
Integrate (any MCP client)
opencode (~/.config/opencode/opencode.json):
{
"mcp": {
"browser": {
"type": "local",
"command": ["uvx", "nexus-browser-mcp"],
"enabled": true
}
}
}
Claude Code (.mcp.json, project root):
{
"mcpServers": {
"browser": {
"type": "stdio",
"command": "uvx",
"args": ["nexus-browser-mcp"]
}
}
}
Pi Coding Agent: reads standard MCP configuration — project .mcp.json or user-global ~/.config/mcp/mcp.json; stdio is the default transport:
{
"mcpServers": {
"browser": {
"command": "uvx",
"args": ["nexus-browser-mcp"]
}
}
}
See docs/INTEGRATE.md for details (Chinese).
Use your own browser (with login state)
By default, isolated mode launches Playwright's bundled Chromium without your cookies/login state. To use your own browser, pick one:
Option A — load your browser profile directly (recommended, simplest)
Use system Chrome with your everyday user data directory (cookies/login/bookmarks included):
BROWSER_CHANNEL=chrome
BROWSER_USER_DATA_DIR="C:\Users\<you>\AppData\Local\Google\Chrome\User Data"
Note: while running against your real User Data, the process owns the browser — launching your own Chrome concurrently will conflict. Prefer a copied profile or a dedicated
--user-data-dir.
Recommended: a tool-dedicated profile (no conflict with your daily browser)
Use BROWSER_CHANNEL=chrome plus a dedicated user data dir (e.g. C:\Users\<you>\.nexus-browser\chrome-profile):
BROWSER_CHANNEL=chrome
BROWSER_USER_DATA_DIR="C:\Users\<you>\.nexus-browser\chrome-profile"
On first use, log in to target sites once in the dedicated Chrome window that pops up when the agent calls a browser tool. Cookies persist in that profile forever after — the agent carries login state while staying fully isolated from your daily browser.
Option B — attach to a running Chrome via CDP
Start chrome --remote-debugging-port=9222 first, then set BROWSER_MODE=cdp.
If the CDP connection fails, the server now fails loudly (no silent fallback to a fresh browser) and tells you to start the debug-port browser first.
Configuration (environment variables)
Every option can be overridden via BROWSER_-prefixed env vars:
| Variable | Default | Description |
|---|---|---|
BROWSER_MODE |
isolated |
isolated (fresh isolated browser) / cdp (attach to your Chrome) |
BROWSER_CDP_ENDPOINT |
http://localhost:9222 |
CDP endpoint |
BROWSER_CHANNEL |
"" |
System browser channel: chrome/msedge etc. (empty = Playwright bundled Chromium) |
BROWSER_USER_DATA_DIR |
"" |
User data dir (carries cookies/login). When set, one shared persistent context across tasks. Empty = fresh profile |
BROWSER_HEADLESS |
false |
Headless mode (isolated only) |
BROWSER_DEFAULT_TIMEOUT_MS |
30000 |
Playwright per-operation timeout (navigation etc.) |
BROWSER_TOOL_TIMEOUT_MS |
60000 |
Outer timeout guard per tool call (returns ERROR instead of hanging) |
BROWSER_STABLE_WINDOW_MS |
800 |
Quiet window: how long without DOM mutations counts as "stable" |
BROWSER_STABLE_REQUIRED |
2 |
Consecutive identical snapshots confirming stability (guards non-DOM changes like animations) |
BROWSER_STABLE_TIMEOUT_MS |
3000 |
Total stability-wait timeout; degrades gracefully on expiry |
BROWSER_SNAPSHOT_MAX_NODES |
100 |
Max nodes per snapshot |
BROWSER_CONTEXT_TTL_SEC |
600 |
Idle task auto-reclaim (seconds) |
BROWSER_STREAM_CHAR_CAP |
16000 |
Max chars per stream buffer (oldest dropped with a seam marker) |
BROWSER_STREAM_PAGE_CAP |
64000 |
Total stream buffer chars per page |
BROWSER_ALLOW_JS_EXECUTION |
false |
Allow browser_evaluate (unconditional HITL when enabled) |
BROWSER_HITL_RULES |
[] |
JSON array of HITL rules, e.g. `[{"action":"click","name_pattern":"pay |
BROWSER_AUDIT_PATH |
~/.nexus-browser/audit.jsonl |
Audit log path |
Tools
20 tools: browser_navigate, browser_snapshot, browser_click, browser_type, browser_read, browser_screenshot, browser_evaluate, browser_wait, browser_wait_stable, browser_wait_ms, browser_scroll, browser_scroll_to, browser_wait_navigation, browser_dismiss_popup, browser_list_pages, browser_switch_page, plus 4 lifecycle tools: browser_tasks, browser_close_task, browser_list_sessions, browser_close_session.
Streaming content (AI replies etc.): browser_read(wait_stable=true) waits for DOM quiet and reads the full text in one call; browser_read(selector=..., follow=true) tracks incrementally and returns only new content per call (full=true returns the whole buffer). browser_wait_stable / browser_wait_ms provide event-driven and fixed-duration waiting primitives.
Most tools accept an optional task_id (defaults to a shared default task). See usage guides in docs/ (Chinese).
Development
uv venv
uv pip install -e ".[dev]"
python -m pytest tests -q
ruff check src tests
python -m smokes.test_e2e # real-browser smoke
python -m smokes.test_e2e_interact # forms + multi-task smoke
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.