原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

WaveXisMCP

作者:MathiasPaulenko版本 1.6.24i★ –i在你的电脑上运行
注册名称io.github.MathiasPaulenko/wavexis-mcp

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 网页与浏览器

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

claude mcp add wavexis -- uvx wavexis-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 MathiasPaulenko 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“网页与浏览器”中的其他服务器比较i

  • 星标数多于此分类中其他 881 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 881 个服务器的 25% 更新
  • 基础检查结果等于或优于此分类中其他 881 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

WaveXisMCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.6.24)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

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Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

电脑或云端★ 120,087MIT17天前更新
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MCP server for Chrome DevTools

在你的电脑上运行★ 54,821Apache-2.016天前更新
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MCP Server Browser

作者:bytedance

MCP server for browser use access

在你的电脑上运行★ 39,550Apache-2.014个月前更新
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作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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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