invisible-playwright-mcp
This MCP server exposes an anti-detect Firefox browser that passes bot-detection tests, allowing LLMs to automate web interactions with humanized clicks and fingerprint randomization.
README
invisible-playwright-mcp
An MCP server that exposes
invisible_playwright — an
anti-detect Firefox that passes every bot-detection test — to LLMs.
Your assistant can launch a fingerprint-randomized browser, navigate, click, type, read the DOM, and take screenshots through it, using the standard Playwright surface, but with a patched Firefox engine under the hood.
The patched Firefox binary is a one-time ~100 MB download (
python -m invisible_playwright fetch, or thefetch_binarytool).
How it works
invisible_playwrightis a drop-in Playwright replacement that patches Firefox at the C++ level (navigator, GPU/WebGL, canvas, fonts, audio, WebRTC, timezone, network) and humanizes mouse motion in the driver.- An MCP server is a resident process, which is exactly what a stateful
browser needs. This server keeps long-lived sessions in-process; each
session owns an
InvisiblePlaywrightinstance plus one or more pages. Tools operate on the session's active page unless told otherwise.
LLM ──MCP/stdio──► server ──► InvisiblePlaywright ──► patched Firefox
▲ (async API)
sessions held in-process
Install
pip install -e . # or: pip install invisible-playwright-mcp
python -m invisible_playwright fetch # one-time ~100 MB, SHA256-verified
Requires Python 3.11+. Supported platforms: Windows x86_64, Linux x86_64/arm64, macOS arm64/x86_64.
On macOS the app is ad-hoc signed (not notarized): if Gatekeeper complains, clear the quarantine flag once with
xattr -dr com.apple.quarantineon the cachedFirefox.app.
Configure your MCP client
opencode (opencode.json)
{
"mcp": {
"invisible-playwright": {
"type": "local",
"command": ["invisible-playwright-mcp"],
"enabled": true
}
}
}
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"invisible-playwright": {
"command": "invisible-playwright-mcp"
}
}
}
Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"invisible-playwright": {
"command": "invisible-playwright-mcp"
}
}
}
If the console script isn't on PATH, use the module form instead:
{ "command": "python", "args": ["-m", "invisible_playwright_mcp"] }
Quick start (for the LLM)
fetch_binary(once) — download the patched Firefox ifbinary_statussaysready: false.start_session→ returnssession_id,seed, and the initialpage_id. Pass aproxy_serverfor residential/socks proxies.gotoa URL, thenquery_elements/get_text/screenshotto understand the page.click/fill/press_keyto act. Mouse motion is humanized.close_sessionwhen done (or just let the server shut down — the lifespan cleans up all Firefox processes).
Log the seed to replay an identical fingerprint later (start_session with
the same seed).
Tool reference
Setup / binary
| Tool | Description |
|---|---|
binary_status |
Is the patched Firefox cached? Does not download. |
fetch_binary |
Download + SHA256-verify the binary (~100 MB, one-time). force=True to re-download. |
Session lifecycle
| Tool | Description |
|---|---|
start_session |
Launch a browser with a fresh/seeded fingerprint. Returns session_id, seed, page_id. |
close_session |
Close a session and free its Firefox process. |
list_sessions |
Active session ids. |
session_info |
Pages, active page, current url/title for a session. |
Pages
| Tool | Description |
|---|---|
new_page |
Open a new tab; becomes the active page. |
close_page |
Close a page (active by default). |
switch_page |
Change the active page. |
list_pages |
Pages in a session. |
Navigation
goto, go_back, go_forward, reload
Interaction (humanized)
click, fill, type_text, press_key, keyboard_press, select_option,
hover, focus, check, uncheck, scroll
Reading
get_url, get_title, get_text, get_html, get_attribute,
query_elements, is_visible
query_elements returns a structured snapshot (tag, id, name, type, role, href,
text, value, placeholder, visible, bounding rect) so the LLM can decide what to
click without scraping raw HTML.
Screenshot
screenshot → returns image content directly to the LLM. Defaults to JPEG
(quality=85) to keep payloads small; image_format="png" for lossless.
full_page=True captures the whole scrollable page.
Waiting
wait_for_selector, wait_for_timeout
Advanced
evaluate — run arbitrary JavaScript in the page and return its value. Powerful;
use sparingly.
start_session parameters
| Param | Default | Notes |
|---|---|---|
seed |
random | Reproducible fingerprint when set. |
headless |
true |
Windows/macOS self-cloak the window. |
proxy_server |
"" |
socks5://host:1080, http://..., etc. DNS routes via proxy. |
proxy_username / proxy_password |
"" |
Proxy auth. |
timezone |
"" |
IANA zone; empty = auto from egress IP. |
locale |
"auto" |
auto = from egress country, or e.g. en-US. |
humanize |
true |
Bezier mouse paths + human timing. |
profile_dir |
"" |
Persistent profile path (enables persistent context). |
prep_recaptcha |
false |
Pre-seed reCAPTCHA cookies (non-persistent only). |
Notes & caveats
- IP matters. The browser fingerprint is handled; ~90% of captchas that remain are from known/blocked proxy IPs. Use clean residential IPs.
- First
start_sessionneeds network to resolve geo/timezone (and to download the binary if you skippedfetch_binary). - Humanized clicks are slower than vanilla Playwright — raise
timeout_msif needed. evaluateruns arbitrary JS — only enable for trusted use.- All logging goes to stderr so it never corrupts the stdio JSON-RPC stream.
- Calls against a single session must be sequential (the natural LLM pattern: the model waits for each tool result before sending the next). Concurrent calls to one session are not supported.
License
MIT. The patched Firefox binary is MPL-2.0 (Firefox upstream). This wrapper does not redistribute the binary; it downloads it on demand from the upstream releases.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.