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WaveXisMCP

by MathiasPaulenkoversion 1.6.24i★ –iRuns on your computer
Registry nameio.github.MathiasPaulenko/wavexis-mcp

Install

Overview

Description from the maker (original English)

220 browser automation tools for Chrome, Edge, and Firefox via CDP + BiDi. 100% Python.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Web & browsers

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "wavexis": {
      "command": "uvx",
      "args": [
        "wavexis-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add wavexis -- uvx wavexis-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "wavexis": {
      "command": "uvx",
      "args": [
        "wavexis-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "wavexis": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "wavexis-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account MathiasPaulenko, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Web & browsersi

  • More stars than 0% of the other 881 servers in this category
  • Published to the registry more recently than 25% of the other 881 servers in this category
  • Basic checks equal to or better than 100% of the other 881 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is WaveXisMCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.6.24) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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MCP Server Browser

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MCP server — 220 browser automation tools for LLMs

Chrome + Firefox · CDP + BiDi · 100% Python · zero Node.js · zero Chromium download


English | 简体中文 | 日本語

MCP server that exposes the wavexis browser automation library to LLMs. 220 tools across 13 capability tiers. No Node.js, no Chromium download — uses your existing Chrome/Edge. 100% Python.

Quick demo

30 seconds to your first screenshot. Add this to your MCP client config (Claude Desktop, Cursor, Windsurf, VS Code):

{

"mcpServers": { "wavexis": { "command": "uvx", "args": ["wavexis-mcp", "--caps", "all"] } } }

Then ask your LLM:

*"Take a full-page screenshot of https://example.com"*

The LLM calls wavexis_screenshot(url="https://example.com", full_page=true) and returns the screenshot. No Node.js, no Chromium download, no setup beyond the config above.

Why WaveXisMCP?

WaveXisMCP wraps the wavexis browser automation library and exposes it as an MCP server. You don't need Node.js, Playwright, or a separate Chromium download — WaveXisMCP launches your existing Chrome or Edge installation directly.

Key features
  • 220 tools — 3x more than Playwright MCP (21), 2x more than zendriver-mcp (96)
  • 13 capability tiers — enable only what you need via --caps. Start with core (72 tools), add tiers as needed
  • Chrome + Firefox — CDP for Chrome/Edge, BiDi for Firefox. Both auto-launch their drivers from PATH
  • No Chromium download — uses your existing browser. ~5MB install vs ~400MB for Playwright MCP
  • Stealth mode — stealth=true hides navigator.webdriver, fakes plugins/languages/chrome runtime
  • Structured errors — every error includes a suggestion field so the LLM self-corrects without human help
  • Multi-action YAML — chain navigate → click → fill → screenshot in a single tool call
  • Raw CDP/BiDi access — escape hatch for any browser feature not covered by a dedicated tool
  • Lighthouse audits, WebAuthn, Bluetooth, Cast — niche features no other MCP server covers
  • SSRF protection, path sandboxing, rate limiting — security built in from day one
  • 700+ tests, 90% coverage enforced, E2E with real Chrome — production-ready
How it works
You (natural language)

→ LLM decides which tool to call → WaveXisMCP receives the tool call → wavexis library executes it via CDP or BiDi → Chrome/Edge/Firefox performs the action ← Result returned as JSON (text, base64, file path) ← JSON passed back to LLM ← LLM summarizes the result for you

The LLM never sees the browser directly. It only sees tool definitions (name, description, parameters) and JSON responses. This means any MCP-compatible LLM client works out of the box — no custom integrations needed.

Core concepts
  • Tool — A single browser operation (screenshot, eval, click, etc.) exposed as an MCP tool that any LLM client can call.
  • Session — A persistent browser instance. Open a session, chain multiple tool calls, close when done. Avoids the overhead of launching a browser per action.
  • Stateless mode — Call any tool with a url parameter. The browser launches, executes, and closes automatically.
  • Capability tiers — 13 tiers from core (72 tools) to all (220 tools). Enable only what you need via --caps.
  • Dual backend — CDP (Chromium-native, via cdpwave) and BiDi (W3C cross-browser, via bidiwave) with per-session selection.
  • Structured errors — Every error includes a suggestion field that tells the LLM what to do next, enabling self-correction without human intervention.

Install

pip install wavexis-mcp

The CDP backend (Chromium) is included by default. For the BiDi backend (Firefox):

pip install "wavexis-mcp[bidi]"

Or run without installing (recommended):

uvx wavexis-mcp

Requirements

  • Python: 3.11, 3.12, or 3.13
  • Browser: Google Chrome, Microsoft Edge, or any Chromium/Chrome-based browser
  • BiDi backend (optional): ChromeDriver/EdgeDriver for Chrome, or geckodriver for Firefox

Quick start

Add to your MCP client config (Claude Desktop, Cursor, Windsurf, VS Code):

{

"mcpServers": { "wavexis": { "command": "uvx", "args": ["wavexis-mcp", "--caps", "all"] } } }

Or with pip:

{

"mcpServers": { "wavexis": { "command": "wavexis-mcp", "args": ["--caps", "all"] } } }

Stateless mode (one-shot)

Call any tool with a url parameter — the browser launches, executes, and closes automatically:

wavexis_screenshot(url="https://example.com", full_page=true)
Session mode (multi-step)

Open a session, chain multiple actions, close when done:

wavexis_session_open(backend="cdp", headless=false)

→ {"session_id": "abc-123"}

wavexis_navigate(session_id="abc-123", url="https://example.com") wavexis_click(session_id="abc-123", selector="#login") wavexis_screenshot(session_id="abc-123") wavexis_session_close(session_id="abc-123")

Natural language interaction (M1)

Use wavexis_act to interact with pages using natural language:

wavexis_session_open(backend="cdp")

wavexis_navigate(session_id="abc-123", url="https://example.com") wavexis_act(session_id="abc-123", instruction="click the login button") → {"action": "click", "element": {"ref": "el-3", "role": "button", "name": "Login"}, "status": "ok"}

The wavexis_act tool takes an a11y snapshot, matches the instruction to an element using keyword scoring, and executes the detected action (click, type, fill, hover). No external LLM calls — pure heuristic matching.

Capability tiers

TierFlagToolsKey features
Corealways on72Session, navigation, screenshot, PDF, scrape, eval, DOM, input, cookies, tabs, NL interaction, iframe, shadow DOM, events
Network--caps=network20Headers, UA, block, throttle, cache, HAR, intercept, mock, modify req/resp, request body, replay HAR, request list
Storage--caps=storage18localStorage, sessionStorage, cache storage, IndexedDB, state save/restore
Emulation--caps=emulation9Device, viewport, geolocation, timezone, dark mode, locale, CPU, touch, sensors
A11y--caps=a11y4Accessibility tree snapshot, node traversal, axe-core audit
Interactions--caps=interactions5Dialogs, downloads, permissions
DevTools--caps=devtools31Performance, CSS, debugging, overlay, console, security, window mgmt, combined trace, annotated screenshot
Vision--caps=vision7Coordinate-based mouse (pixel-precise)
Video--caps=video4Video recording, chapters, action overlay
Testing--caps=testing6Assertions, locator generation
Workflows--caps=workflows6Multi-action YAML, raw CDP/BiDi, browser context CRUD
Data--caps=data7Codegen, Lighthouse audit, extract, websocket intercept, crawl, visual diff, core web vitals
Experimental--caps=experimental31Service workers, animations, WebAuthn, WebAudio, media, cast, bluetooth, extensions, prefs
Total--caps=all220

Default: --caps=core (72 tools). Enable all: --caps=all. Enable specific: --caps=network,storage,emulation.

Tip: Start with --caps core and add tiers as needed. Each tier adds tool definitions to the LLM's context, which consumes tokens. For most tasks, core,network,storage (110 tools) is a good balance.

Backends

WaveXisMCP supports two backends with full feature parity:

  • CDP (cdpwave) — default, Chrome DevTools Protocol. Direct WebSocket to Chrome/Edge. No driver needed. 57 CDP domains. Included by default.
  • BiDi (bidiwave) — WebDriver BiDi protocol, W3C cross-browser (Firefox, Chrome). Needs chromedriver (Chrome) or geckodriver (Firefox); both are auto-launched from PATH if not already running. pip install "wavexis-mcp[bidi]"

Select per session:

# CDP (default, Chrome/Edge only)

wavexis_session_open(backend="cdp")

BiDi with Chrome (auto-launches chromedriver)

wavexis_session_open(backend="bidi", browser="chrome")

BiDi with Firefox (auto-launches geckodriver)

wavexis_session_open(backend="bidi", browser="firefox")

Connect to existing Chrome

Use connect_existing=True to launch Chrome with --remote-debugging-port and connect to it. Useful for reusing a browser profile with logged-in sessions:

# Launch Chrome with debug port and connect via CDP

wavexis_session_open(connect_existing=true)

Reuse an existing Chrome profile (keeps logins, cookies, extensions)

wavexis_session_open(connect_existing=true, user_data_dir="C:/Users/me/ChromeProfile")

Chrome is launched headed (headless is ignored). The browser subprocess is terminated when the session is closed.

Multi-action YAML

Chain multiple actions in a single tool call by passing a YAML string:

wavexis_multi_action(

config=""" actions:

  • navigate: https://example.com
  • screenshot: full_page: true
  • eval: document.title
  • click: "#login"
  • type: selector: "#username" text: admin@example.com
  • screenshot: {}

""", session_id="abc-123" )

Supported action types: navigate, screenshot, eval, click, type, fill. Set continue_on_error: true to keep executing on failures.

MCP resources & prompts (M3)

Resources (read-only browser state):

  • wavexis://session/{id}/url — current page URL
  • wavexis://session/{id}/cookies — cookies as JSON
  • wavexis://session/{id}/console — console messages
  • wavexis://session/{id}/tabs — open tabs

Prompts (workflow templates):

  • scrape_page(url, selector) — scrape and extract content
  • audit_page(url) — full a11y + performance audit
  • fill_form(url, fields) — fill a form on a page
  • debug_page(url) — debug console, network, performance

HTTP transport

Run WaveXisMCP as an HTTP server for CI/CD, shared instances, or Docker:

# HTTP on localhost

wavexis-mcp --transport http --port 8765

HTTP with all tiers

wavexis-mcp --transport http --port 8765 --caps all

HTTP with remote access (use behind a reverse proxy!)

wavexis-mcp --transport http --allow-remote --port 8765

Binds to 127.0.0.1 by default. Use `-

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